Throughout this semester, you have learned how to conduct scientific research, and in doing so, you have developed your skills in evaluating research. To demonstrate your scientific evaluation skills, you will need to read at least one of the scientific articles listed at the end of these instructions and then write a 2-page paper by August 3rd. By completing this assignment, you can receive up to an additional 1 point added to your final grade. You may only review one article for this assignment, you cannot receive more than 1 point for completing this assignment.
To receive extra credit:
- Read one of the following articles conducted by faculty members in our department.
- Write an approximately 1-page summary of the article you read. For example, what were the researchers testing? What did they find? What conclusions did they draw? Do not copy and paste parts of the article or restate what is in the abstract. This is your opportunity to show that you actually read and understood the article. You do not have to prove that you understood the whole thing (some of the technical language may be beyond your current knowledge level), but you do need to show that you read it. Therefore, focus your paper on what you did understand.
- Write an approximately 1-page response to the article using the information you have learned in this course. For example, what ethical issues may the researchers have had to consider in their study? What other hypotheses may they have considered? Are there other ways they could have tested their hypotheses? What follow-up questions would you like to test? How would you test those follow-up questions?
Paper guidelines
- Papers should between approximately 2 double-spaced pages in length. Papers should be typed with 12-point Times New Roman font and 1-inch margins. You should cite the article you are using with APA-style citations, and you should make sure to include your name in the right-hand corner of the assignment. If you reference anything you have learned in this class, please cite the module from which you learned that information (e.g., Module 5).
Article
To Be or Not to Be (Black or Multiracial or White): Cultural Variation in Racial Boundaries
Jacqueline M. Chen1,2, Maria Clara P. de Paula Couto3, Airi M. Sacco4, and Yarrow Dunham5
Abstract
Culture shapes the meaning of race and, consequently, who is placed into which racial categories. Three experiments conducted in the United States and Brazil illustrated the cultural nature of racial categorization. In Experiment 1, a target’s racial ancestry influenced Americans’ categorizations but had no impact on Brazilians’ categorizations. Experiment 2 showed cultural differences in the reliance on two phenotypic cues to race; Brazilians’ categorizations were more strongly determined by skin tone than were Americans’ categorizations, and Americans’ categorizations were more strongly determined by other facial features compared to Brazilians’ categorizations. Experiment 3 demonstrated cultural differences in the motivated use of racial categories. When the racial hierarchy was threatened, only Americans more strictly enforced the Black–White racial boundary. Cultural forces shape the conceptual, perceptual, and ideological construal of racial categories.
Keywords
race, categorization, culture, intergroup relations, face perception
Immigrants to the United States have to complete several forms
to be naturalized, and many report being unsure of how they fit
into the racial/ethnic categories presented on these forms
(Joseph, 2015). A self-identification that many Americans take
for granted causes confusion among others, illustrating the
social nature of racial categories. Our research sheds light on
how racial boundaries are shaped by cultural forces.
Americans frequently essentialize race, treating observed
racial differences as stemming from unobservable but deep
internal properties that are vertically transmitted from parents
to their offspring (Hirschfeld, 1998). Despite these powerful
intuitions, however, determining a person’s race is not always
straightforward. Perceptions of one’s race can be influenced by
irrelevant characteristics (e.g., Freeman, Penner, Saperstein,
Scheutz, & Ambady, 2011; Hugenberg & Bodenhausen,
2004), and perceivers’ attitudes and motivations can influence
how they categorize individuals (e.g., Chen, Moons, Gaither,
Hamilton, & Sherman, 2014). Thus, despite objectivist intui-
tions about race, the ways that people actually racially categor-
ize others depend on the social and motivational context. We
further show that these processes are embedded within a cul-
tural context by conducting three experiments comparing per-
ceivers’ racial categorization processes in the United States
and Brazil. Specifically, we examine cultural differences in the
use of ancestry (Experiment 1) and phenotypic cues (Experi-
ment 2) in racial categorization and then investigate the cultural
specificity of the motivated enforcement of racial boundaries
(Experiment 3).
Both the United States and Brazil have a history of Native
American displacement, European settlement, and African
slavery. However, the two countries adopted different strate-
gies and practices to address racial diversity. While we cannot
do justice to this complex history here, we discuss below our
view that these historical differences have shaped cultural
divergences in race perception today. Our experimental
approach dovetails with sociological research comparing North
and South American racial stratification and ideology at macro-
levels (e.g., Bailey, Saperstein, & Penner, 2014; Telles, 2004,
2014) while also contributing to the growing psychological
literature on social categorization processes.
1 Department of Psychology, University of Utah, Salt Lake City, UT, USA 2 Department of Psychology and Social Behavior, University of California,
Irvine, CA, USA 3 EduLab21, Ayrton Senna Institute, São Paulo, Brazil 4 Department of Psychology, Federal University of Pelotas, Pelotas, Brazil 5 Department of Psychology, Yale University, New Haven, CT, USA
Corresponding Author:
Jacqueline M. Chen, Department of Psychology, University of Utah, Salt Lake
City, UT 84112, USA.
Email: [email protected]
Social Psychological and Personality Science 2018, Vol. 9(7) 763-772 ª The Author(s) 2017 Article reuse guidelines: sagepub.com/journals-permissions DOI: 10.1177/1948550617725149 journals.sagepub.com/home/spp
Conventions of American Racial Ideology
Racial categorization in the United States focuses on delineat-
ing boundaries using individuals’ ancestry. For example, the
so-called “one-drop” laws institutionalized hypodescent, the
allocation of mixed ancestry individuals to the lower-status
group by specifying that a person with Black blood was
defined as Black, irrespective of their other ancestries or their
appearance (Davis, 1991). Not only were individuals’ ances-
tries central to determining their race, but society also empha-
sized maintaining racial boundaries by attempting to keep
races “separate but equal.” Thus, historical conventions
enable American perceivers’ assumption that racial groups
are biologically based, discrete, and stable (Banks & Eber-
hardt, 1998; Chen & Hamilton, 2012; Dunham & Olson,
2016; Richeson & Sommers, 2016), an assumption that self-
perpetuates (see Prentice & Miller, 2007; Williams & Eber-
hardt, 2008).
Past studies have provided insight into how American views
of race play out in social perception. White Americans continue
to engage in hypodescent when categorizing racially ambiguous
mixed race faces (Peery & Bodenhausen, 2008) or when consid-
ering how individuals of mixed ancestry should be categorized
(e.g., Ho, Sidanius, Levin, & Banaji, 2011; Sanchez, Good, &
Chavez, 2011; see also Ho, Kteily, & Chen, in press). Yet, it
is only beginning in middle childhood that Americans reliably
associate ancestry with race and exhibit hypodescent in their
categorizations of multiracial targets (Roberts & Gelman,
2015), suggesting that ancestry-based racial categorization pat-
terns are culturally learned. Further, perhaps reflecting the his-
torical effort to subordinate Black–White individuals using
one-drop rules, White Americans who are seeking to preserve
existing racial stratification are especially likely to engage in
hypodescent (Ho, Sidanius, Cuddy, & Banaji, 2013; Krosch &
Amodio, 2014; see also Penner & Saperstein, 2013).
Therefore, previous research clearly suggests that Ameri-
cans are socialized to view race through an essentialist lens that
can be traced back to the country’s historical treatment of race.
We seek to provide illuminating evidence of the cultural nature
of these processes by direct cross-cultural comparison with
race perception in Brazil.
Conventions of Brazilian Racial Ideology
Brazilian racial ideology emphasizes racial miscegenation and
the flexibility of racial categorization. After slavery was
abolished, the government explicitly encouraged interracial
marriage in an attempt to “dilute” Blackness in order to socially
and politically weaken the large African Brazilian population
(Telles, 2004, 2014). Encouraging individual upward mobility
via “self-whitening,” albeit for anti-Black reasons, tacitly
endorses a conceptualization of an individual’s race as flexible
and subject to change, while preserving the subordinate status
of the Black racial group overall. The individual fluidity norm
is in stark contrast with the United States, where miscegena-
tion, far from “diluting” Blackness, would serve to increase the
Black population through the operation of hypodescent. Today,
multiracial people are viewed as an intermediate racial group
between Blacks and Whites (Skidmore, 1993), and the Brazi-
lian census permits people to identify as Multiracial (“Parda”),
Black (“Preta”), or White (“Branca”) (Instituto Brasileiro de
Geografia e Estatı́stica, 2011).
Reflecting a fluid conceptualization of an individual’s race,
there were no formalized rules for racial classifications, nor any
institutionally sanctioned linking of race with ancestry (Telles,
2004). Instead, the push for self-whitening as a mechanism for
upward mobility linked race with socioeconomic status
(Schwartzman, 2007) and appearance (especially skin tone;
Telles, 2004), two attributes that are more malleable than one’s
ancestry. Reflecting the ultimate success of the cultural disso-
ciation between racial appearance and ancestry, Brazilians’
racial appearance and self-identification are only weakly pre-
dictive of their actual amount of African ancestry (Parra
et al., 2003).
To our knowledge, there is no social psychological research
examining Brazilians’ perceptions of race. Sociologists have
argued that Brazilians make racial categorizations on the basis
of appearance, privileging skin tone as the defining feature of
race (Telles, 2014), with little relation to their genetic ancestry
(Santos et al., 2009). Thus, our research seeks to experimen-
tally validate long-standing claims from sociology and provide
the first experimental cross-cultural comparison of race percep-
tion between the United States and Brazil.
Overview of Current Research
Three experiments show that the differences in cultural con-
ventions have powerful psychological consequences, affect-
ing how race is perceived and how racial boundaries are
defended. Experiment 1 examined cultural differences in the
conceptualization of race by manipulating ancestry and pit-
ting it against targets’ appearance. Experiment 2 examined
cultural differences in the perceptual bases of race, specifi-
cally in the use of skin tone versus facial features in racial
categorizations. Experiment 3 investigated the cultural-
embeddedness of motivated race perception by examining
whether the motivated use of racial boundaries functioned dif-
ferently across cultures.
Experiment 1
Experiment 1 investigated cultural differences in individuals’
use of a person’s ancestry versus appearance in racial categor-
ization. We hypothesized that individuals’ categorizations
would reflect cultural differences in the conceptualization of
race. Specifically, we predicted that Americans would categor-
ize targets consistent with their heritage whereas Brazilians
would categorize targets consistent with their appearance. In
addition, we expected to observe hypodescent in the categori-
zation of mixed ancestry targets among Americans but not
among Brazilians.
764 Social Psychological and Personality Science 9(7)
Method
Participants
Americans (n¼ 145; 100 females) participated in exchange for
partial credit for university psychology courses (Mage ¼ 19.93,
SD ¼ 2.16). Brazilians (n¼ 122; 101 females) participated after
being recruited from university psychology courses (Mage =
24.59; SD¼ 3.40). The SOM contains sample size goals, sample
racial demographics, and analyses by participant race for all
three studies.
Materials
The stimulus set consisted of eight faces of Multiracial children
(four female faces) from a larger Brazilian stimulus set (BIC-
Multicolor; Sacco, de Paula Couto, & Koller, 2016). We pre-
tested the faces in both countries (see SOM for details). To
be selected, the stimulus faces had to be considered Multiracial
(as opposed to Black or White) by at least 75% of participants
in both countries.
Survey materials for all three studies were created in English,
translated into Portuguese by a bilingual social psychologist, and
then checked by another bilingual social psychologist. All sur-
veys were programmed in Qualtrics and completed online.
Demographic questions were always at the end of the study, and
participants’ response options for race were determined by the
categories typically available on their country’s census.
Procedure
Participants consented to participate in a study assessing their
social attitudes and beliefs. Participants were randomly assigned
to view one of the targets, whose face was presented with the fol-
lowing background information: “This child was born in the
United States (Brazil). His (her) parents are African American
[vs. One of his (her) parents is African American, and the other
is White vs. His (her) parents are White].” Participants were
asked to categorize the target by race in an open-ended question
(“What race is this child?”).
Design
The study had a 2 (Culture: United States vs. Brazil) � 3
(Ancestry: two Black parents vs. one Black parent and one
White parent vs. two White parents) between-subjects design.
The frequency and type of racial categorizations were the
dependent variables.
Results
Although the majority of participants’ responses (approxi-
mately 76%) fell into the racial categories of Black, Multira-
cial, and White, a substantial proportion of their responses
did not. Americans (but not Brazilians) occasionally generated
alternative racial categorizations (e.g., Indian, Latino). Thus,
we analyzed participants’ categorizations of the target as
Black, Multiracial, White, or other. We tested our predictions
using analysis of variance (ANOVA; below) and multinomial
regression (in SOM), with both analyses reaching the same
conclusions.
We ran a 2 (Culture: United States vs. Brazil) � 3 (Ances-
try: Black vs. Black/White vs. White) � 4 (Racial Categoriza-
tion: Black, Multiracial, White, or Other) mixed model
ANOVA on participants’ categorizations, with the latter factor
being within-subjects. The predicted three-way interaction
between Culture, Ancestry, and Categorization emerged,
F(6, 783) ¼ 9.51, p < .001, Zp 2 ¼ .07 (see Figure 1). We thus
broke down the results separately by culture.
Among Brazilians, there was only a main effect of Categor-
ization, F(3, 357) ¼ 95.90, p < .001, Zp 2 ¼ .45. Regardless of
parents’ race, Brazilians categorized the children predomi-
nantly as Multiracial, M ¼ .72 95% CI [.65, .81], SE ¼ .04.
Multiracial categorizations were significantly more frequent
than Black M ¼ .07 95% CI [.03, .12], SE ¼ .02; White
M ¼ .18 95% CI [.11, .25], SE ¼ .04; or Other M ¼ .00 95% CI [.00, .00], SE ¼ .00 categorizations, all ps < .05. As
expected, Brazilians’ racial categorizations were uninfluenced
by information about the children’s ancestry.
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
Black Black-White White
Pr op
or ti
on o
f R ac
ia l C
at eg
or iz
at io
ns
Parents' Race
Brazil
White
Mixed
Black
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
Black Black-White White
Pr op
or ti
on o
f R ac
ia l C
at eg
or iz
at io
ns
Parents' Race
USA
White
Mixed
Black
Other
Figure 1. Proportion of racial categorizations as a function of parents’ race and country in Experiment 1 (Whiskers denote +1 SE).
Chen et al. 765
Among Americans, there was a main effect of Categoriza-
tion, F(3, 426) ¼ 13.11, p < .001, Zp 2 ¼ .09, that was qualified
by the predicted interaction with Ancestry, F(6, 426) ¼ 20.57,
p < .001, Zp 2 ¼ .23. Americans were more likely to categorize
children as Black when their parents were Black, M ¼ .51 95% CI [.39, .63], SE ¼ .06, as opposed to Black/White, M ¼ .26
95% CI [.14, .37], SE ¼ .06, or White M ¼ .04 95% CI
[–.07, .16], SE ¼ .06, ps < .01. Participants were more likely
to categorize targets as Multiracial when they had only one
Black parent, M ¼ .59 95% CI [.49, .68], SE ¼ .05, as opposed
to two Black parents, [M¼ .04 95% CI [–.06, .14], SE¼ .05, or
two White parents, M ¼ .06 95% CI [–.04, .16], SE ¼ .04, ps <
.001. And participants were more likely to categorize targets as
White when both their parents were White, M ¼ .23 95% CI
[.16, .30], SE ¼ .04, compared to when one parent was White,
M ¼ .00 95% CI [–.07, .07], SE ¼ .03, or both were Black, M
¼ .00 95% CI [–.07, .07], SE¼ .04, ps < .001. Therefore, ances-
try strongly shaped Americans’ racial categorizations of the chil-
dren. The unexpected “Other” categorizations of the targets were
highest for two White parents, M ¼ .62 95% CI [.49, .75], SE¼ .07, ps < .01, and higher two Black parents, M ¼ .40 95% CI [.28, .53], SE ¼ .07, compared to when one parent was
White and the other Black, M ¼ .14 95% CI [.01, .26], SE ¼ .06, p ¼ .004.
Finally, we found evidence of hypodescent such that Amer-
icans were more likely to categorize a child with mixed paren-
tage as Black, M ¼ .26 95% CI [.14, .37], SE ¼ .06, than as
White, M ¼ .00 [–.07, .07], SE ¼ .03, p < .001. Brazilians did
not engage in hypodescent, categorizing a child with mixed
heritage as White, M ¼ .16 95% CI [.04, .27], SE ¼ .06, as
often as Black, M ¼ .07 [–.01, .15], SE ¼ .04, p ¼ .23.
Discussion
This study provides a clear illustration of cultural differences in
how individuals determine another person’s race. Whereas
Brazilians’ categorizations ignored targets’ ancestry and
focused only on appearance, Americans’ categorizations were
heavily influenced by targets’ ancestry and, to a lesser extent,
their appearance. These findings reflect the historical differ-
ences in how the United States and Brazil defined race, the for-
mer in terms of ancestry and hypodescent for multiracial
individuals, the latter in terms of appearance.
The use of the “other” categories, occurring only among
Americans and predominantly in the White parents condition,
shows that ancestry is not the only criterion for race in the
United States. Indeed, Americans’ categorizations were
partially driven by appearance, and this tendency was asym-
metric, such that perceivers most often rejected the ancestral
cue and generated alternative (non-White) categories when tar-
gets’ appearance seemingly did not match the White parentage
information. These findings suggest an interesting possibility—
that different racial categories have different criteria for mem-
bership in the United States. More generally, however, the
documented strong relationship between ancestry and race for
Americans, but not for Brazilians, reveals deep differences in
the factors driving racial categorization in each culture.
Experiment 2
Whereas Experiment 1 documented cultural differences in the
conceptual basis of racial categorization, Experiment 2 sought
a finer grained investigation of the use of two perceptual, that
is, phenotypic, cues (skin tone and other facial features) in
Americans’ and Brazilians’ categorizations. In doing so, we pro-
vided the first experimental investigation of United States-Brazil
differences in the perceptual bases of racial categorization.
Past work suggests that Americans’ racial categorization
will rely on both cues. Americans believe that one’s ancestry
and appearance are closely linked, such that they expect a child
of Black parents to look Black as well (Hirschfeld, 1998). Con-
sistent with this view, in the absence of ancestral information,
American adults’ racial categorizations and social evaluations
of individuals rely on both skin tone and facial features (e.g.,
Stepanova & Strube, 2012). Yet, skin tone is a stronger and
developmentally earlier-emerging predictor of American cate-
gorizations (Dunham, Stepanova, Dotsch, & Todorov, 2015;
Stepanova & Strube, 2012). Thus, we hypothesized that Amer-
icans’ categorizations would use both skin tone and facial fea-
tures, but that they would rely more on skin tone.
With respect to Brazil, macro-level and qualitative analyses
support the dominance of skin color over other phenotypic cues,
including facial features, in lay conceptions of race (Santos et al.,
2009; Telles, 2004, 2014; Travassos & Williams, 2004; but
see Bailey et al., 2014; Banton, 2012). Based on these findings
outside of experimental social psychology, we predicted that
Brazilians would use skin tone more than facial features.
Our research also directly compared the importance of skin
tone and facial features in racial categorizations in the United
States and Brazil. Because both qualitative (e.g., Telles,
2014) and quantitative (e.g., Experiment 1) research across
disciplines argue that lay definitions of race in the United States
focus on ancestry as a primary cue to race and on appearance as
a secondary cue, and because other social sciences indicate that
Brazilians define race primarily in terms of skin tone (e.g.,
Telles, 2014; Travassos & Williams, 2004), we predicted that
Brazilians would use skin tone more strongly than Americans.
Our investigation of between-culture differences in the use of
other facial features was more exploratory, but the sociological
work described above pointing to the centrality of skin color in
Brazil allowed us to cautiously predict that Brazilians would
make less use of these features than Americans.
Method
Participants
One hundred and nine Americans (62 females) were recruited
from Amazon’s Mechanical Turk (Mage ¼ 35.67; SD ¼ 1.25). One hundred twenty-eight Brazilians (53 females,
28 males, and 47 declined to state) were a recruited in a conve-
nience sample (Mage ¼ 30.14; SD ¼ 0.94).
766 Social Psychological and Personality Science 9(7)
Materials and Procedure
Participants learned that they would be viewing faces and cate-
gorizing them by race (“What race is this person?” with Black,
Multiracial, and White response options). Two extensively
validated stimulus sets were used (Dunham et al., 2015; Stepa-
nova & Strube, 2012). The faces varied along two dimensions:
skin tone (very dark to very light) and facial features (very
Afrocentric to very Eurocentric). Both dimensions had 10 lev-
els. Participants were randomly assigned to a stimulus set and
categorized each face by race in random order.
Design
The study had a 2 (Culture: Brazil vs. United States) � 2
(Stimulus set) � 10 (Skin tone: very dark to very light) � 10
(Facial features: very Afrocentric to very Eurocentric) mixed
design, with the latter two factors being within-subjects. The
dependent variable was racial categorization. Including stimu-
lus set as a factor did not change the results, and we collapsed
across this factor.
Results and Discussion
We conducted a fixed-effects multilevel model predicting
categorization (1 ¼ Black, 2 ¼ Multiracial, and 3 ¼ White)
with mean-centered skin tone and facial features nested within
individual participants (i.e., Level 1 factors). The model also
included the individual-level (i.e., Level 2) predictor of Culture
(0 ¼ Brazil, 1 ¼ United States), all two-way interactions, and
the three-way interaction (see SOM for full results).1
The culture by skin tone interaction, F(1, 9663) ¼ 230.20,
p < .001, supported our hypothesis that skin tone influenced
Brazilians’ categorizations, b ¼ .18, SE ¼ .002, b ¼ .54
95% CI[.52., .54], p < .001, more strongly than Americans’
categorizations, b ¼ .15, SE ¼ .002, b ¼ .44 95% CI [.43,
.45], p < .001 (see Figure 2, top panel). In addition, the culture
by facial features interaction, F(1, 10753) ¼ 169.01, p < .001,
showed that facial features had a stronger impact on Ameri-
cans’ categorizations, b ¼ .09, SE ¼ .002, b ¼ .28 95% CI
[.27, .29], p < .001, than on Brazilians’, b ¼ .06, SE ¼ .002,
b ¼ .19 95% CI [.16, .18], p < .001 (see Figure 2, bottom
panel). Thus, Brazilians’ categorizations were more strongly
predicted by skin tone and more weakly associated with facial
features compared to Americans’ categorizations. The 95% CIs for skin tone versus facial features were not overlapping
within either culture, indicating that both Brazilians and
Americans would rely on skin tone more than on facial
features to make racial categorizations.
In sum, Experiment 2 determined that Brazilian and Ameri-
can race perception differentially relies on phenotypic cues, indi-
cating that attention to facial physiognomy is culturally directed.
Future research is necessary to understand at what age these cul-
tural differences emerge and what processes “tune” Americans’
racial judgments to appearance-based cues other than skin tone
(cf. Dunham, Dotsch, Clark, & Stepanova, 2016).
Taken together, Experiments 1 and 2 demonstrate that cul-
tural differences in racial categorization stem from several
quite different sources, including patterns of inference (as when
categorizations are influenced by parentage information) and
the lower-level properties of faces themselves (as when both
skin color and other facial features differently predict categor-
ization across cultures).
Experiment 3
Not only is the definition of race socially determined, but the
use of racial categories can also serve social functions.
Experiment 3 sought to demonstrate that the opposing racial
ideologies pervading U.S. and Brazilian cultures have impli-
cations for the motivated use of racial categories by individ-
ual perceivers. We use the well-established individual
difference, social dominance orientation (SDO), that cap-
tures perceivers’ likelihood of supporting existing status
hierarchies (Ho et al., 2015; Pratto, Sidanius, Stallworth, &
Malle, 1994). People high in SDO are relatively anti-
egalitarian, tolerating social inequalities within a society,
whereas people low in SDO are relatively egalitarian, prefer-
ring social equality within a society. Thus, only people high
in SDO are motivated to protect the status quo when they
1
1.2
1.4
1.6
1.8
2
2.2
2.4
Darker Lighter
Ra ci
al C
at eg
or iz
at io
ns (B
la ck
to W
hi te
)
Skin tone
USA
Brazil
b = .18***
b = .15***
1
1.2
1.4
1.6
1.8
2
2.2
2.4
More Afrocentric More Eurocentric
Ra ci
al C
at eg
or iz
at io
ns (B
la ck
to W
hi te
)
Facial features
USA
Brazil
b = .06***
b = .09***
Figure 2. Use of skin tone (upper graph) and facial features (lower graph) in racial categorizations by culture in Experiment 2.
Chen et al. 767
feel that the current hierarchy is under threat due to growing
social equality (Ho et al., 2013).
As reviewed in the Introduction, American institutions at-
tempted to maintain the racial hierarchy by imposing
formal rules for denying rights and resources to the socially
subordinate group, Black Americans. Hypodescent emerges
especially strongly when high SDO White Americans feel that
the racial status quo is threatened (Ho et al., 2013; see also
Krosch & Amodio, 2014; Krosch, Berntsen, Amodio, Jost, &
Van Bavel, 2013). Thus, hypodescent has served and continues
to serve a hierarchy-strengthening purpose in the United States.
In contrast, Brazilian post-abolition efforts encouraged mis-
cegenation in order to highlight the possibility of individual
upward mobility and to decrease the number of people
self-identifying as Black (Telles, 2004, 2014). The Brazilian
endorsement of individual mobility via racial fluidity served
as a mechanism for preserving the racial hierarchy by allowing
individuals to be upwardly mobile (passing into higher status
racial categories and reducing the size of the subordinate Black
category) without changing the hierarchical positions of the
racial categories themselves. Thus, in Brazil, the racial fluidity
of the individual enables the preservation of the racial hierar-
chy of groups, and hypodescent has no historical precedent.
Experiment 3 directly tested the cultural specificity of the moti-
vated use of hypodescent. We hypothesized that, when the racial
hierarchy is under threat, Americans high in SDO would seek to
preserve the racial category boundary by making more Black cate-
gorizations of multiracial targets (replicating past work), but that
Brazilians high in SDO would not make more Black categoriza-
tions because, in their cultural context, it is flexibility, rather than
rigidity, of racial boundaries that enables preservation of the status
quo. Consistent with this view, it was possible that higher SDO
Brazilians might make fewer Black categorizations, reflecting the
historical effort to dilute the Black population.
Method
Participants
Americans (n ¼ 147; 102 females, 1 declined to state) partici-
pated in exchange for partial course credit for university psy-
chology courses (Mage ¼ 20.46; SD ¼ 1.97). Brazilians (n ¼ 145; 93 females) were recruited from university psychology
courses (Mage ¼ 23.64; SD ¼ 3.83).
Materials and Procedure
We measured participants’ motivation to protect the status quo
using the SDO scale (Pratto et al., 1994). The manipulation
texts (low and high threat to the status quo) described social
advantages favoring Whites (low threat; i.e., stable status quo)
or a significant change favoring Black people (high threat; i.e.,
unstable status quo). For pretesting details, see the SOM.
Participants first completed the measure of SDO. Next, par-
ticipants were randomly assigned to read either the low or high
threat vignette and then answered three comprehension ques-
tions (which served as a manipulation check and was
successful; see SOM). Participants then completed two racial
categorization questions, each consisting of viewing an array
of 10 faces (a subset of Experiment 2 stimuli) arranged
next to each other and ranging from reliably Black to reliably
White (based on Experiment 2 responses). Participants were
randomly assigned to view the face array that went from Black
to White or from White to Black (i.e., the face array direction
factor). For each face, participants were asked to indicate its
race using a culturally normative categorization task first
(involving two choices—Black or White—for Americans and
three choices—Black, Multiracial, or White—for Brazilians)
followed by the non-normative task. Thus, each participant
responded to a face array twice.2
Design
The study had a 2 (Culture: United States vs. Brazil) � 2
(Threat: low vs. high) � 2 (Face Array Direction: Black to
White vs. White to Black) � continuous (SDO) � 2 (Categor-
ization Task: 2 vs. 3 categories) mixed design, with the latter
factor being within-subjects. The proportion of Black categor-
izations was the dependent variable. The face array direction
factor did not moderate the results and therefore, we collapsed
across this factor in the analyses.
Results and Discussion
We conducted a fixed-effects multilevel model predicting
the proportion of Black categorizations with categorization
task (0 ¼ two-choice task, 1 ¼ three-choice task) nested
within individual participants (i.e., Level 1 factors). The
model included the individual-level (i.e., Level 2) predictor
of Culture (0 ¼ Brazil, 1 ¼ United States), Threat (0 ¼ low
threat, 1 ¼ high threat), mean-centered SDO, all two-way
interactions, all three-way interactions, and the four-way
interaction. We report the focal effects here and secondary
findings in the SOM.
There was a main effect of Culture, F(1, 534) ¼ 23.79, p <
.001, because Americans, M¼ .43 95% CI [.42, .45], SE¼ .01.
made more Black categorizations than Brazilians did, M ¼ .37
95% CI [.35, .39], SE ¼ .01. There was also a significant
Culture by SDO interaction, F(1, 534) ¼ 7.29, p ¼ .01.
Overall, SDO predicted fewer Black categorizations among
Brazilians, b ¼ –.28 95% CI [–.48, –.07], SE ¼ .10, p ¼ .01,
but did not predict Black categorizations among Americans,
b ¼ .11 95% CI [–.08, .30], SE ¼ .10, p ¼ .25. Among
Brazilians, there was no difference in the association between
SDO and Black categorizations between threat conditions, p¼ .30. In other words, among Brazilians across both threat
conditions, stronger motives to uphold the hierarchy (i.e., high
SDO) predicted fewer Black categorizations, consistent with
the idea that seeing fewer individuals as Black, or
“whitening,” preserves the status quo in their culture. Among
Americans, threat condition had a significant effect on
the relationship between SDO and Black categorizations,
p < .001, as described below.
768 Social Psychological and Personality Science 9(7)
There was a marginally significant three-way interaction
among Culture, Threat, and SDO, F(1, 543) ¼ 2.96, p ¼ .086 (see Figure 3). In the low threat condition, there was
no significant cultural difference, p ¼ .48. SDO predicted
fewer Black categorizations among Brazilians, b ¼ –.39
95% CI [–.67, –.11], SE ¼ .14, b¼ –.35, p ¼ .01, and margin-
ally fewer Black categorizations among Americans, b ¼ –.25
95% CI [–.51, .01], SE ¼ .13, b ¼ –.23, p ¼ .06. In the focal
high threat condition, there was a significant cultural differ-
ence, p ¼ .002. SDO was only associated with more Black
categorizations among Americans, b ¼ .46 95% CI [.18,
.73], SE ¼ .14, b ¼ .42, p ¼ .001, but not among Brazilians,
b ¼ –.17 95% CI [–.47, .13], SE ¼ .15, b ¼ –.16, p ¼ .26.
Additional follow-up comparisons showed that low SDO indi-
viduals (–1SD) made fewer Black categorizations in high
threat condition than in the low threat condition in Brazil,
b = .06 95% CI [.02, .10], SE ¼ .02, p ¼ .004, and in the
United States, b ¼ .09 95% CI [.03, .14], SE ¼ .03, p ¼ .004. However, among high SDO individuals (þ1 SD), high
threat only increased Black categorizations relative to low
threat among Americans, b ¼ –.04 95% CI [–.08, –.004],
SE = .02, p ¼ .03, and not among Brazilians, p ¼ .52.3
In summary, replicating previous research, Americans with
a strong motivation to preserve the status quo engaged in hypo-
descent when the hierarchy was under threat. Yet, high threat to
the status quo did not elicit hypodescent among Brazilians with
a strong motivation to preserve the status quo. Instead, among
Brazilians, there was suggestive evidence for “whitening,”
such that anti-egalitarian individuals made fewer Black cate-
gorizations across the two threat conditions—an interesting
finding worthy of further investigation. Experiment 3 illus-
trates that racial boundaries serve culturally specific motiva-
tions and provides the first evidence for motivation
underlying Brazilians’ racial categorizations.
General Discussion
Our findings illustrate that cultural forces shape racial category
boundaries, as determined on conceptual, perceptual, and ideolo-
gical bases. Experiment 1 demonstrated that defining race in
terms of one’s ancestry is an American tendency not shared by
Brazilians. Experiment 2 showed that race is more closely tied
to skin tone for Brazilians than for Americans, whereas facial
features determined Americans’ racial categorizations more than
Brazilians’ racial categorizations. Experiment 3 established that
hypodescent is used to reaffirm a threatened social hierarchy
only by Americans and not by Brazilians, who seemed to use
individual racial mobility to protect the status quo. These experi-
ments demonstrate that the same individual can be categorized
differently depending on where she is and who is perceiving her.
Our research raises many questions for future research. The
fact that some aspects of race perception today reflect long-
standing cultural conventions is consistent with mutual consti-
tution (Markus & Kitayama, 2010; Shweder, 1990), whereby
enduring institutions and informal practices mutually reinforce
each other and influence individuals’ psychology, which
shapes institutions and social norms. Of course, proximal
mechanisms of socialization must be responsible for transmit-
ting psychological tendencies over time. One possibility is that
the diversity of one’s social context influences which racial
categories are cognitively accessible and the basis on which
these categories are applied (Chong et al., 2015; Pauker, Wil-
liams, & Steele, 2015). Another relevant factor is the level of
interracial exposure in one’s environment, which predicts how
Americans cognitively represent Black and White racial cate-
gories (Freeman, Pauker, & Sanchez, 2016). Therefore, imme-
diate social contextual characteristics, such as racial diversity
in the environment, that have been shaped by culture and his-
tory may shed light on the mechanisms for the observed cul-
tural differences (see also Halberstadt, Sherman, & Sherman,
2011; Quintana, 1998).
Our research was certainly not without limitations. The
experiments relied on predominantly White Americans, Asian
Americans, and White Brazilians. Researchers should be careful
in generalizing these findings to other populations, and future
work should investigate how members of other racial groups per-
ceive racial boundaries (including those between racial groups
not studied here) across cultures. We also want to highlight the
possibility of regional variability in our findings as both coun-
tries studied here have large and heterogeneous populations.
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
Low SDO High SDO
Pr op
or ti
on o
f B la
ck C
at eg
or iz
at io
ns
Brazil
Low Threat
High Threat
b = -.39**
b = -.17
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
odshgihodswol
N um
be r o
f B la
ck C
at eg
or iz
at io
ns
USA
low threat
high threat
b = .46***
b = -.25+
**
** *
Figure 3. Number of Black categorizations by threat condition, SDO, and culture in Experiment 3. SDO ¼ social dominance orientation. þp < .10. *p < .05. **p < .01. ***p < .001.
Chen et al. 769
Finally, the importance of specific racial categories can shift
over time (e.g., Ignatiev, 2009), and we encourage researchers
to think about how contemporary sociopolitical issues may influ-
ence shifts in racial categories, temporary or lasting. We hope
that the present work sparks research on these interesting
questions.
Practically speaking, although classifying individuals by
race is often taken for granted as an objective criterion, our
research demonstrates that the process of placing individuals
into racial categories is subjective. We suggest that researchers
consider using comprehensive measures of race, separating
perception (the focus of this research) from ancestry, appear-
ance, and identity, to improve our understanding of important
outcomes such as racial differences in achievement and health
(Roth, 2016; Saperstein, 2006).
Cultural differences in racial boundaries highlight the social
construction of race. While category-based prejudice is a problem
faced in all societies, there is variability in how and where these
boundaries are drawn. Our research begins to unpack the psychol-
ogy of race in Brazil and helps to better understand the sources of
Americans’ deeply held essentialist assumptions about race.
Authors’ Note
The second author is a member of eduLab21 at Ayrton Senna Institute.
eduLab21 is a laboratory dedicated to the production and dissemina-
tion of scientific knowledge to support public policy formulations for
Education. eduLab21 encourages the production of new knowledge
and the mapping of existing information on socioemotional skills and
their role on Education. The research presented in this manuscript was
carried out independently by the second author and is not related to his
or her work at eduLab21.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to
the research, authorship, and/or publication of this article.
Funding
The author(s) received no financial support for the research, author-
ship, and/or publication of this article.
Supplemental Material
The supplemental material is available in the online version of the
article.
Notes
1. We ran the model including both skin tone and facial features as
predictors because it had better fit in both cultures compared to a
model predicting racial categorization from skin tone alone (see
SOM for details and additional data visualizations).
2. Our method confounds the order of the categorization task (i.e.,
Americans always received Black/White task first and Brazilians
always received Black/Multiracial/White task first). Due to logisti-
cal concerns about doubling the necessary sample, we could not
afford to counterbalance the order of the categorization task. We
therefore chose to have participants first complete the task that
would be most natural to them. Participants’ responses only mar-
ginally varied by categorization task (2 vs. 3 choices; see Results
and SOM).
3. There was also a marginal four-way interaction among Culture,
Threat, Social Dominance Orientation, and Categorization Task,
F(1, 534) ¼ 2.81, p ¼ .094. Although this interaction was not
anticipated and did not reach the conventional significance level,
we conducted follow-up analyses that are detailed in the SOM.
Essentially, the hypothesis-testing three-way interaction was stron-
ger in the two-choice categorization task than in the three-choice
categorization task.
References
Bailey, S., Saperstein, A., & Penner, A. (2014). Race, color, and
income inequality across the Americas. Demographic Research,
31, 735–756.
Banks, R. R., & Eberhardt, J. L. (1998). Social psychological pro-
cesses and the legal bases of racial categorization. In S. Fiske &
J. L. Eberhardt (Eds.), Confronting racism: The problem and the
response (pp. 54–75). Thousand Oaks, CA: Sage.
Banton, M. (2012). The colour line and the colour scale in the twen-
tieth century. Ethnic and Racial Studies, 35, 1109–1131.
Chen, J. M., & Hamilton, D. L. (2012). Natural ambiguities: Racial
categorization of multiracial individuals. Journal of Experimental
Social Psychology, 48, 152–164.
Chen, J. M., Moons, W. G., Gaither, S. E., Hamilton, D. L., & Sher-
man, J. W. (2014). Motivation to control prejudice predicts cate-
gorization of multiracials. Personality and Social Psychology
Bulletin, 40, 590–603.
Chong, A., Coffinet, L., Tagomori, J., Meyers, C., Carpinella, C., &
Pauker, K. (2015, March). What are you? Differences in racial
labeling between Hawai’i and Northern California children. Pos-
ter presented at the Biennial Meeting of Society for Research in
Child Development, Philadelphia, PA.
Davis, F. J. (1991). The one-drop rule defined. Who is Black? One Nation’s
definition. University Park: Pennsylvania State University Press.
Dunham, Y., Dotsch, R., Clark, A. R., & Stepanova, E. V. (2016). The
development of White-Asian categorization: Contributions from
skin color and other physiognomic cues. PLoS One, 11,
e0158211–e0158220. doi:10.1371/journal.pone.0158211
Dunham, Y., & Olson, K. R. (2016). Beyond discrete categories:
Studying multiracial, intersex, and transgender children will
strengthen basic developmental science. Journal of Cognition and
Development, 17, 642–665.
Dunham, Y., Stepanova, E. V., Dotsch, R., & Todorov, A. (2015). The
development of race-based perceptual categorization: Skin color
dominates early category judgments. Developmental Science, 18,
469–483.
Freeman, J. B., Pauker, K., & Sanchez, D. T. (2016). A perceptual
pathway to bias: Interracial exposure reduces abrupt shifts in
real-time race perception that predict mixed-race bias. Psychologi-
cal Science, 27, 502–517.
Freeman, J. B., Penner, A. M., Saperstein, A., Scheutz, M., &
Ambady, N. (2011). Looking the part: Social status cues shape race
perception. PLoS One, 6, e25107.
770 Social Psychological and Personality Science 9(7)
Halberstadt, J., Sherman, S. J., & Sherman, J. W. (2011). Why Barack
Obama is black: A cognitive account of hypodescent. Psychologi-
cal Science, 22, 29–33.
Hirschfeld, L. A. (1998). Race in the making: Cognition, culture, and
the child’s construction of human kinds. Cambridge, MA: MIT
Press.
Ho, A. K., Kteily, N., & Chen, J. M. (in press). “You’re one of us”:
Black Americans’ use of hypodescent and its association with ega-
litarianism. Journal of Personality and Social Psychology.
Ho, A. K., Sidanius, J., Cuddy, A. J., & Banaji, M. R. (2013). Sta-
tus boundary enforcement and the categorization of Black–
White biracials. Journal of Experimental Social Psychology,
49, 940–943.
Ho, A. K., Sidanius, J., Kteily, N., Sheehy-Skeffington, J., Pratto, F.,
Henkel, K. E., Foels, R., & Stewart, A. L. (2015). The nature of
social dominance orientation: Theorizing and measuring prefer-
ences for intergroup inequality using the new SDO7 scale. Journal
of Personality and Social Psychology, 109, 1003.
Ho, A. K., Sidanius, J., Levin, D. T., & Banaji, M. R. (2011). Evidence
for hypodescent and racial hierarchy in the categorization and per-
ception of biracial individuals. Journal of Personality and Social
Psychology, 100, 492.
Hugenberg, K., & Bodenhausen, G. V. (2004). Ambiguity in social
categorization the role of prejudice and facial affect in race cate-
gorization. Psychological Science, 15, 342–345.
Ignatiev, N. (2009). How the Irish became White. New York, NY:
Routledge.
Instituto Brasileiro de Geografia e Estatı́stica. (2011). Censo Demo-
gráfico 2010—Caracterı́sticas da populacao e dos domicı́lios:
Resultados do universo [Brazilian census 2010—Characteristics
of the population and households: Overall results]. Retrieved
March 18, 2016, from http://biblioteca.ibge.gov.br/visualizacao/
periodicos/93/cd_2010_caracteristicas_populacao_domicilios.pdf
Joseph, T. (2015). Race on the move: Brazilian migrants and the glo-
bal reconstruction of race. Stanford, CA: Stanford University
Press.
Krosch, A. R., & Amodio, D. M. (2014). Economic scarcity alters the
perception of race. Proceedings of the National Academy of
Sciences, 111, 9079–9084.
Krosch, A. R., Berntsen, L., Amodio, D. M., Jost, J. T., & Van Bavel,
J. J. (2013). On the ideology of hypodescent: Political conserva-
tism predicts categorization of racially ambiguous faces as Black.
Journal of Experimental Social Psychology, 49, 1196–1203.
Markus, H. R., & Kitayama, S. (2010). Cultures and selves: A cycle of
mutual constitution. Perspectives on Psychological Science, 5,
420–430.
Parra, F. C., Amado, R. C., Lambertucci, J. R., Rocha, J., Antunes, C.
M., & Pena, S. D. (2003). Color and genomic ancestry in Brazi-
lians. Proceedings of the National Academy of Sciences, 100,
177–182.
Pauker, K., Williams, A., & Steele, J. R. (2016). Children’s racial
categorization in context. Child Development Perspectives, 10,
33–38.
Peery, D., & Bodenhausen, G. V. (2008). Black þ White ¼ Black
hypodescent in reflexive categorization of racially ambiguous
faces. Psychological Science, 19, 973–977.
Penner, A. M., & Saperstein, A. (2013). Engendering racial percep-
tions: An intersectional analysis of how social status shapes race.
Gender & Society, 27, 319–344.
Pratto, F., Sidanius, J., Stallworth, L. M., & Malle, B. F. (1994). Social
dominance orientation: A personality variable predicting social
and political attitudes. Journal of Personality and Social Psychol-
ogy, 67, 741.
Prentice, D. A., & Miller, D. T. (2007). Psychological essentialism of
human categories. Current Directions in Psychological Science,
16, 202–206.
Quintana, S. M. (1998). Children’s developmental understanding
of ethnicity and race. Applied and Preventive Psychology, 7,
27–45.
Richeson, J. A., & Sommers, S. R. (2016). Toward a social psychol-
ogy of race and race relations for the twenty-first century. Annual
Review of Psychology, 67, 439–463.
Roberts, S. O., & Gelman, S. A. (2015). Do children see in Black and
White? Children’s and adults’ categorizations of multiracial indi-
viduals. Child Development, 86, 1830–1847.
Roth, W. D. (2016). The multiple dimensions of race. Ethnic and
Racial Studies, 39, 1310–1338.
Sacco, A. M., de Paula Couto, M. C. P., & Koller, S. H. (2016). Con-
struction and validation of the White, Pardo, and black children
picture set (BIC-multicolor). Psychology & Neuroscience, 9,
68–78.
Sanchez, D. T., Good, J. J., & Chavez, G. (2011). Blood quantum and
perceptions of black-white biracial targets: The black ancestry pro-
totype model of affirmative action. Personality & Social Psychol-
ogy Bulletin, 37, 3–14.
Santos, R. V., Fry, P. H., Monteiro, S., Maio, M. C., Rodrigues, J. C.,
Bastos-Rodrigues, L., & Pena, S. D. (2009). Color, race, and geno-
mic ancestry in Brazil. Current Anthropology, 50, 787–815.
Saperstein, A. (2006). Double-checking the race box: Examining
inconsistency between survey measures of observed and self-
reported race. Social Forces, 85, 57–74.
Schwartzman, L. F. (2007). Does money whiten? Intergenerational
changes in racial classification in Brazil. American Sociological
Review, 72, 940–963.
Shweder, R. A. (1999). Why cultural psychology? Ethos, 27, 62–73.
Skidmore, T. E. (1993). Black into white: Race and nationality in Bra-
zilian thought. Durham, NC: Duke University Press.
Stepanova, E. V., & Strube, M. J. (2012). The role of skin color and
facial physiognomy in racial categorization: Moderation by impli-
cit racial attitudes. Journal of Experimental Social Psychology, 48,
867–878.
Telles, E. E. (2004). Race in another America. Princeton, NJ: Prince-
ton University Press.
Telles, E. E. (2014). Pigmentocracies: Ethnicity, race, and color in
Latin America. Chapel Hill: University of North Carolina Press.
Travassos, C., & Williams, D. R. (2004). The concept and measure-
ment of race and their relationship to public health: A review
focused on Brazil and the United States. Cadernos de saúde
pública, 20, 660–678.
Williams, M. J., & Eberhardt, J. L. (2008). Biological conceptions of
race and the motivation to cross racial boundaries. Journal of
Personality and Social Psychology, 94, 1033.
Chen et al. 771
Author Biographies
Jacqueline M. Chen is an assistant professor of psychology at the
University of Utah and the University of California, Irvine. Her
research examines how social group memberships, especially race,
influence social perception and interaction.
Maria Clara P. de Paula Couto, PhD, Federal University of Rio
Grande do Sul, 2011, is a project manager at Ayrton Senna Institute,
where she works with education projects focusing youth development.
In terms of research topics, she is interested in automatically activated
attitudes (e.g., evaluative priming), prejudice and stereotyping, and
evidence-based psychological and educational interventions.
Airi M. Sacco is an assistant professor of psychology at the Fed-
eral University of Pelotas (UFPel) in Brazil. Her research
focuses on developmental social cognition, prejudice, and
human rights.
Yarrow Dunham is an assistant professor of psychology and cogni-
tive science and the director of the Social Cognitive Development Lab
(https://socialcogdev.com). His research focuses on studying how
knowledge of social groups is acquired, both in cognitively mature
adults and in developing children, and drawing on a range of social,
cognitive, and developmental methodologies.
Handling Editor: Jesse Graham
772 Social Psychological and Personality Science 9(7)
<< /ASCII85EncodePages false /AllowTransparency false /AutoPositionEPSFiles true /AutoRotatePages /None /Binding /Left /CalGrayProfile (Gray Gamma 2.2) /CalRGBProfile (sRGB IEC61966-2.1) /CalCMYKProfile (U.S. Web Coated 50SWOP 51 v2) /sRGBProfile (sRGB IEC61966-2.1) /CannotEmbedFontPolicy /Warning /CompatibilityLevel 1.3 /CompressObjects /Off /CompressPages true /ConvertImagesToIndexed true /PassThroughJPEGImages false /CreateJobTicket false /DefaultRenderingIntent /Default /DetectBlends true /DetectCurves 0.1000 /ColorConversionStrategy /LeaveColorUnchanged /DoThumbnails false /EmbedAllFonts true /EmbedOpenType false /ParseICCProfilesInComments true /EmbedJobOptions true /DSCReportingLevel 0 /EmitDSCWarnings false /EndPage -1 /ImageMemory 1048576 /LockDistillerParams true /MaxSubsetPct 100 /Optimize true /OPM 1 /ParseDSCComments true /ParseDSCCommentsForDocInfo true /PreserveCopyPage true /PreserveDICMYKValues true /PreserveEPSInfo true /PreserveFlatness false /PreserveHalftoneInfo false /PreserveOPIComments false /PreserveOverprintSettings true /StartPage 1 /SubsetFonts true /TransferFunctionInfo /Apply /UCRandBGInfo /Remove /UsePrologue false /ColorSettingsFile () /AlwaysEmbed [ true ] /NeverEmbed [ true ] /AntiAliasColorImages false /CropColorImages false /ColorImageMinResolution 266 /ColorImageMinResolutionPolicy /OK /DownsampleColorImages true /ColorImageDownsampleType /Average /ColorImageResolution 175 /ColorImageDepth -1 /ColorImageMinDownsampleDepth 1 /ColorImageDownsampleThreshold 1.50286 /EncodeColorImages true /ColorImageFilter /DCTEncode /AutoFilterColorImages true /ColorImageAutoFilterStrategy /JPEG /ColorACSImageDict << /QFactor 0.40 /HSamples [1 1 1 1] /VSamples [1 1 1 1] >> /ColorImageDict << /QFactor 0.76 /HSamples [2 1 1 2] /VSamples [2 1 1 2] >> /JPEG2000ColorACSImageDict << /TileWidth 256 /TileHeight 256 /Quality 30 >> /JPEG2000ColorImageDict << /TileWidth 256 /TileHeight 256 /Quality 30 >> /AntiAliasGrayImages false /CropGrayImages false /GrayImageMinResolution 266 /GrayImageMinResolutionPolicy /OK /DownsampleGrayImages true /GrayImageDownsampleType /Average /GrayImageResolution 175 /GrayImageDepth -1 /GrayImageMinDownsampleDepth 2 /GrayImageDownsampleThreshold 1.50286 /EncodeGrayImages true /GrayImageFilter /DCTEncode /AutoFilterGrayImages true /GrayImageAutoFilterStrategy /JPEG /GrayACSImageDict << /QFactor 0.40 /HSamples [1 1 1 1] /VSamples [1 1 1 1] >> /GrayImageDict << /QFactor 0.76 /HSamples [2 1 1 2] /VSamples [2 1 1 2] >> /JPEG2000GrayACSImageDict << /TileWidth 256 /TileHeight 256 /Quality 30 >> /JPEG2000GrayImageDict << /TileWidth 256 /TileHeight 256 /Quality 30 >> /AntiAliasMonoImages false /CropMonoImages false /MonoImageMinResolution 900 /MonoImageMinResolutionPolicy /OK /DownsampleMonoImages true /MonoImageDownsampleType /Average /MonoImageResolution 175 /MonoImageDepth -1 /MonoImageDownsampleThreshold 1.50286 /EncodeMonoImages true /MonoImageFilter /CCITTFaxEncode /MonoImageDict << /K -1 >> /AllowPSXObjects false /CheckCompliance [ /None ] /PDFX1aCheck false /PDFX3Check false /PDFXCompliantPDFOnly false /PDFXNoTrimBoxError true /PDFXTrimBoxToMediaBoxOffset [ 0.00000 0.00000 0.00000 0.00000 ] /PDFXSetBleedBoxToMediaBox false /PDFXBleedBoxToTrimBoxOffset [ 0.00000 0.00000 0.00000 0.00000 ] /PDFXOutputIntentProfile (U.S. Web Coated 50SWOP 51 v2) /PDFXOutputConditionIdentifier (CGATS TR 001) /PDFXOutputCondition () /PDFXRegistryName (http://www.color.org) /PDFXTrapped /Unknown /CreateJDFFile false /Description << /ENU <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> >> /Namespace [ (Adobe) (Common) (1.0) ] /OtherNamespaces [ << /AsReaderSpreads false /CropImagesToFrames true /ErrorControl /WarnAndContinue /FlattenerIgnoreSpreadOverrides false /IncludeGuidesGrids false /IncludeNonPrinting false /IncludeSlug false /Namespace [ (Adobe) (InDesign) (4.0) ] /OmitPlacedBitmaps false /OmitPlacedEPS false /OmitPlacedPDF false /SimulateOverprint /Legacy >> << /AllowImageBreaks true /AllowTableBreaks true /ExpandPage false /HonorBaseURL true /HonorRolloverEffect false /IgnoreHTMLPageBreaks false /IncludeHeaderFooter false /MarginOffset [ 0 0 0 0 ] /MetadataAuthor () /MetadataKeywords () /MetadataSubject () /MetadataTitle () /MetricPageSize [ 0 0 ] /MetricUnit /inch /MobileCompatible 0 /Namespace [ (Adobe) (GoLive) (8.0) ] /OpenZoomToHTMLFontSize false /PageOrientation /Portrait /RemoveBackground false /ShrinkContent true /TreatColorsAs /MainMonitorColors /UseEmbeddedProfiles false /UseHTMLTitleAsMetadata true >> << /AddBleedMarks false /AddColorBars false /AddCropMarks false /AddPageInfo false /AddRegMarks false /BleedOffset [ 9 9 9 9 ] /ConvertColors /ConvertToRGB /DestinationProfileName (sRGB IEC61966-2.1) /DestinationProfileSelector /UseName /Downsample16BitImages true /FlattenerPreset << /ClipComplexRegions true /ConvertStrokesToOutlines false /ConvertTextToOutlines false /GradientResolution 300 /LineArtTextResolution 1200 /PresetName ([High Resolution]) /PresetSelector /HighResolution /RasterVectorBalance 1 >> /FormElements true /GenerateStructure false /IncludeBookmarks false /IncludeHyperlinks false /IncludeInteractive false /IncludeLayers false /IncludeProfiles true /MarksOffset 9 /MarksWeight 0.125000 /MultimediaHandling /UseObjectSettings /Namespace [ (Adobe) (CreativeSuite) (2.0) ] /PDFXOutputIntentProfileSelector /DocumentCMYK /PageMarksFile /RomanDefault /PreserveEditing true /UntaggedCMYKHandling /UseDocumentProfile /UntaggedRGBHandling /UseDocumentProfile /UseDocumentBleed false >> ] /SyntheticBoldness 1.000000 >> setdistillerparams << /HWResolution [288 288] /PageSize [612.000 792.000] >> setpagedevice

