universal dimensions of inequality: why … dimensions of inequality: why warmth and competence...
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Universal Dimensions of Inequality:Inequality:
Why Warmth and Competence Matter to Social Work
Susan T. FiskeD t t f P h lDepartment of Psychology
Princeton University
O l 2 Ki d f P lOnly 2 Kinds of People
Friend or foe? With us or against?g Part of the problem or the solution Warm, friendly, trustworthy, sincereWarm, friendly, trustworthy, sincere
OK M b 4 Ki d f P lOK, Maybe 4 Kinds of People
Friend or foe? Warm, friendly, trustworthy, sincere, y, y,
Able or unable? Competent able skillful capable Competent, able, skillful, capable
Warmth x competence 4 clusters
C St d P j diCase Study: Prejudices
Come in distinct types From society & stereotypes in mind From society & stereotypes in mind Universal across culture
H f i di id l Happen for individuals In distinct regions of brain Predict distinct patterns of discrimination
Di ti t TDistinct Types
Friend or foe? = Warmth Able or unable? = Competence Able or unable? Competence Stereotype Content Model (SCM)
Warmth x competence Warmth x competence
Stereotype Content Model(C dd Fi k & Gli k Ad 2008 Fi k C dd & Gli k TiCS 2007 Fi k(Cuddy, Fiske, & Glick, Advances, 2008; Fiske, Cuddy, & Glick, TiCS, 2007; Fiske et al., JSI,1999, JPSP, 2002)
Lo Competence Hi Competence
Hi Warmth Pure favoritism
Lo Warmth Pure antipathyLo Warmth Pure antipathy
Stereotype Content Model(C dd Fi k & Gli k Ad 2008 Fi k C dd & Gli k TiCS 2007 Fi k(Cuddy, Fiske, & Glick, Advances, 2008; Fiske, Cuddy, & Glick, TiCS, 2007; Fiske et al., JSI,1999, JPSP, 2002)
Lo Competence Hi Competence
Hi Warmth Ambivalence Pure favoritism
Lo Warmth Pure antipathy AmbivalenceLo Warmth Pure antipathy Ambivalence
St t C t t M d lStereotype Content ModelLo Competence Hi Competence
Hi Warmth
Lo Warmth poor welfareLo Warmth poor, welfare, homelessDisgustDisgust
St t C t t M d lStereotype Content ModelLo Competence Hi Competence
Hi Warmth ingroup, allies, reference groupsreference groupsPride
Lo Warmth poor welfareLo Warmth poor, welfare, homelessDisgustDisgust
St t C t t M d lStereotype Content ModelLo Competence Hi Competence
Hi Warmth older, disabled, retarded
ingroup, allies, reference groupsretarded
Pityreference groupsPride
Lo Warmth poor welfareLo Warmth poor, welfare, homelessDisgustDisgust
St t C t t M d lStereotype Content ModelLo Competence Hi Competence
Hi Warmth older, disabled, retarded
ingroup, allies, reference groupsretarded
Pityreference groupsPride
Lo Warmth poor welfare Jews Asians richLo Warmth poor, welfare, homelessDisgust
Jews, Asians, rich, professionalsEnvyDisgust Envy
P j diPrejudices
Come in distinct types From society & stereotypes in mind From society & stereotypes in mind Universal across culture
H f i di id l Happen for individuals In distinct regions of brain Predict distinct patterns of discrimination
SCM St diSCM Studies
[American] society’s opinions of groups Common groups nominatedg p Rate on
Warmth (warm, friendly, sincere)( , y, ) Competence (competent, skillful, capable) Social structure Emotions Behavior
Survey Method: Demographicsy g p(Cuddy, Fiske, & Glick, JPSP, 2007)
N = 571 Sex: 62% female, 38% male Sex: 62% female, 38% male Age: 18-85, mean 45
R i 20% NE 24% MidW 35% S 21% W Region: 20% NE, 24% MidW, 35% S, 21% W Edu: 7% HS-, 24% HS, 30% BA-, 39% BA+ Race: 77% White, 6% Black, 9% Hispanic
S l & R li bilitiScales & Reliabilities Competent capable = 81 Competent, capable .81 Warm, friendly = .83 Disgust, contempt = .60 Disgust, contempt .60 Admiration, pride = .80 Pity, sympathy = .71y, y p y Envious, jealous = .82 Cooperate, associate = .61p Fight, attack = .59 Help, protect = .60 Exclude, demean = .68
SCM: US Representative Sample p p(Cuddy, Fiske, & Glick, JPSP, 2007)
4 5
4
4.5
Elderly Christians
Housewives
PITY PRIDE
3.5
th
AmericansDisabled
Christians
Black professionals
Middle-class
IrishRetarded
Whites
3
War
mt
British
Asians
Poor blacksJews
Whites
Welfare
2.5 ArabsRich
Homeless
Feminists
WelfareTurks
DISGUST ENVY2
2 2.5 3 3.5 4 4.5
Competence
DISGUST ENVY
U.S. Immigrants (Lee &Fiske, IJIR, 2006)
5
housewives
h Latino
SouthAmerican
elderly
IrishItalian
documented A iEuropean
Canadian
3rd generation
war
mt
d t d
poor Mexican African
Latino
farm workerEast European
Vietnamese RussianFrench
German
documented
Indian
Americanpstudents
Korean
Asian
Japanesetech industry
professionals1st generation
undocumented Middle Eastern
rich
ChineseAsian
homeless
1
1 5
competence
P j diPrejudices
Come in distinct types From society & stereotypes in mind From society & stereotypes in mind Universal across culture
H f i di id l Happen for individuals In distinct regions of brain Predict distinct patterns of discrimination
P j diPrejudices
Come in distinct types From ideas of society & stereotypes in mind
Status competence Competition (low) warmth
Universal across culture Happen for individuals In distinct regions of brain Predict distinct patterns of discrimination
Social Context Group Stereotypep yp(Cuddy, Fiske, & Glick, Adv in Exptl Soc Psy, 2008)
Correlations Competence Warmth
Status .77 ( 55 to 87) 12Status .77 (.55 to .87) .12
Competition
Social Context Group Stereotypep yp(Cuddy, Fiske, & Glick, Adv in Exptl Soc Psy, 2008)
Correlations Competence Warmth
Status .77 ( 55 to 87) 12Status .77 (.55 to .87) .12
Competition .05 -.25 (.08 to -.48)
From US, EU, Latino, & Asian samples
Social Context Group Stereotypep yp(Caprariello, Cuddy, & Fiske, GPIR, 2009)
Status Competition Competence Warmth
High HighHigh High
High LowHigh Low
Low High
Low Low
Social Context Group Stereotypep yp(Caprariello, Cuddy, & Fiske, GPIR, 2009)
Status Competition Competence Warmth
High High 4 58 3 47High High 4.58 3.47
High Low 4.83 4.13High Low 4.83 4.13
Low High 2.80 3.35
Low Low 3.21 3.84
P j diPrejudices
Come in distinct types From ideas of society & stereotypes in mind
Status competence Competition (low) warmth
Universal across culture Happen for individuals In distinct regions of brain Predict distinct patterns of discrimination
P j diPrejudices
Come in distinct types From ideas of society & stereotypes in mind From ideas of society & stereotypes in mind Universal across culture
H f i di id l Happen for individuals In distinct regions of brain Predict distinct patterns of discrimination
American Students: 1932-2007(B i k L li C t ti & Fi k d i )(Bergsiecker, Leslie, Constantine, & Fiske, under review)
1932 20071932 2007
Italian Fascists (Durante, Volpato, & Fiske, EJSP, in press)
Lo Competence Hi Competence
Hi Warmth ItaliansAryans
Lo Warmth Blacks JewsLo Warmth BlacksHalf castes
JewsEnglish
SCM: Universal or Culture-Bound? (Cuddy, Fiske, Kwan, Glick, et al., BJSP, 2009)
Warmth x competence map Collective warmth (harmony) > (individual) competence?
Many groups mixed Result of multi-cultural, egalitarian values?g Unnecessary in homogeneous, hierarchical cultures?
Ingroup favoritism outgroup derogationg p g p g No ingroup love prejudice?
SCM: Japanese data (Cuddy et al., BJSP, 2009)
High
ChildrenFriends
Japanese
FamilyWomen
My clubs
Elderly
Disabled Hometown
mth
LC-HW
Full members
Civil servantsMen
Entertainers
My co.Office wrkrs
Odd-jobbers
Poor My univ.
Students
War
m
HHC-LLW
HC-LWLC-LW1
Professionals
Homeless
Low
LC-LW2
CompetenceLow High
SCM: Hong Kong data(Cuddy et al., 2009)
C h ild re n
C h r is t ia n s
H ig h
L C -H W
C h in e s e
E ld e r lyF o re ig n e rs
M a r r ie dM e n ta l ly i l l
S tu d e n ts
C o lle g e g ra d s
W o m e nA s ia n sm
th
A d u lts
B lu e -c o lla r
C h in e s e
H Klo c a ls
J a n ito rsM e n
F ilip in o m a id sP o o r
P ro fe s s io n a lsS in g le s
C o lle g e g ra d s
U n e m p lo y e d
W h ite -c o lla r
Y o u th s
War
m
M C -M W
Im m ig ra n ts
M a in la in d e rsP a k is ta n i
R ic h
U n e m p lo y e d
L o w
L C -L W H C -L W
C o m p e te n c e H ig hL o w
SCM: South Korean data(Cuddy et al., 2009)
H ig h
C h ild re n
E ld e r ly
H o u s e w iv e sM in is te rs
L C -H W
B lu e -c o lla rB u d d h is ts
S tu d e n ts
E ld e r ly
E m p lo y e e sJ u n io r h ig h
M id d le c la s s
M e n
P ro te s ta n tsT e a c h e rs
W o m e n
War
mth
H C -L W 1
E m p lo y e rs
I lle g a lim m ig ra n ts
In te lle c tu a ls
M e rc h a n ts
P ro te s ta n ts
P ro fe s s io n a lsP o o r
P u b licfu n c t io n a r ie sU n e m p lo y e d
W C
L C -L W
R ic hL o w
H C -L W 2
Low
C o m p e te n c eL o w H ig h
Ingroup Favoritism g p(Cuddy, Fiske, & Glick, Adv in Exptl Soc Psy, 2008)
Sample Positivity
Western (2 U.S., Belgium) .29 - .49
Asian (Japan, Hong Kong, S. Korea) .02 - .18
Positivity averages across warmth & competence, which show same patterns.
P j diPrejudices
Come in distinct types From ideas of society & stereotypes in mind From ideas of society & stereotypes in mind Universal across culture
But outgroup prejudices without ingroup favoritism But outgroup prejudices without ingroup favoritism Happen for individuals In distinct regions of brain Predict distinct patterns of discriminationp
P j diPrejudices
Come in distinct types From society & stereotypes in mind From society & stereotypes in mind Universal across culture
H f i di id l Happen for individuals In distinct regions of brain Predict distinct patterns of discrimination
Intergroup Perception → Person Perception(Russell & Fiske EJSP 2008)(Russell & Fiske, EJSP, 2008)
Individual competition & status →pindividual warmth & competence
M th dMethods
Participants: Princeton Undergrads (n=46) Cover: National Impression Formation Study
h th i i f f diff ton how synthesize info from different sources Interact & form impression of another student Background (status) Background (status) “Subliminal” info Game (competition) Rate warmth & competence
2 (status) x 2 (competition)
Competition Perceived WarmthWarmth(Russell & Fiske, EJSP, 2008)
6.5
7
1-9)
5.5
6
ngs
(Sca
le:
4.5
5
arm
th R
atin
4
4.5
Competitive Condition Non-CompetitiveCondition
Wa
Condition
Status Perceived Competence(Russell & Fiske, EJSP, 2008)
6.5
7
g (1
-9)
5.5
6
ce R
atin
4.5
5
mpe
tenc
4
High Status Target Low Status Target
Co
Status CompetenceI t lli I d (SAT GPA)on Intelligence Index (SAT, GPA)
0.4
0.6
GPA
)
0
0.2
ex (S
AT
&
High Status
-0.2
01
genc
e In
de High StatusLow Status
-0.6
-0.4
Inte
llig
P j diPrejudices
Come in distinct types From society & stereotypes in mind From society & stereotypes in mind Universal across culture
H f i di id l Happen for individuals In distinct regions of brain Predict distinct patterns of discrimination
P j diPrejudices
Come in distinct types From ideas of society & stereotypes in mind From ideas of society & stereotypes in mind Universal across culture
H f i di id l Happen for individuals In distinct regions of brain Predict distinct patterns of discrimination
Emotion Ratings in Scanner(Harris & Fiske, Psych Science, 2006)
0 80.9
1
0.50.60.70.8
port
ion
0 10.20.30.4
Pro
p
00.1
pride envy pity disgust
EmotionEmotion
SCAN 101SCAN 101
Medial Prefrontal Cortex Social cognition, theory of mind, social affect
Dispositional attributions about people(Harris, Todorov, & Fiske, NeuroImage, 2006) Not ambiguous attributions Not objects doing same actions
(Harris & Fiske, Social Cognition, 2008)
“Social valuation”
Di l i & Di iDisclaimer & Digression
What I said: Differentiated prejudicesdistinct activationsp j
What I did NOT say: Prejudice is inevitable wired in Prejudice is inevitable, wired in
Brief empirical digression:N l ti ti d d i l t t Neural activation depends on social context
G l St d H thGoal Study Hypotheses
Nonsocial goal no MPFC Individuating goal MPFC Individuating goal MPFC Categorization goal amygdala, MPFC
Instructions(Harris & Fiske, SCAN, 2007)
Shown for 2 sec. at the beginning of each block of 12 faces
MPFC Activation: Social Cognition
Vegetable task
8 38 32x: 8, y: 38, z: 32
Age taskAge task
x: 5, y: 42, z: 30
Dehumanization:Denying a Mind to Others
Prejudices MPFC activation
Pride .47
Envy 57Envy .57
Pity .52
Di 34Disgust .34
Dehumanization:Denying a Mind to Others
Prejudices MPFC activation
Attributed mind
Likely
interaction
Pride .47 .78 .27
Envy 57 66 14Envy .57 .66 .14
Pity .52 .35 ‐.24
Di 34 26 43Disgust .34 .26 ‐.43
Disgusting groups also less articulate, intelligent, less typically human(Harris & Fiske, 2006 & under review)
Oth Ki d f D h i ti ?Other Kinds of Dehumanization?
Dehumanization Theory (Haslam): Dehumanization as disgusting animals Dehumanization as disgusting animals
(e.g., vermin such as rodents, insects) Dehumanization as objects Dehumanization as objects
(e.g., tools, machines, robots)
St t C t t M d lStereotype Content ModelLow Competence High Competence
High Warmth
older, disabled, retarded
ingroup, allies, reference groupsWarmth retarded
Pity
reference groups
Pride
Low poor welfare Jews Asians richLow Warmth
poor, welfare, homeless
Disgust (Vermin)
Jews, Asians, rich, feminists, vamps
Envy (Objects)Disgust (Vermin) Envy (Objects)
Hypotheses (Cikara, Eberhardt, & Fiske, under review)
For heterosexual men sexualized women have For heterosexual men, sexualized women have instrumental value, so they will:
Recognize bodies of sexualized women Not faces
Deactivate social cognition network Correlated with hostile sexism
P ti i t & D i Participants & Design (Cikara et al.)
21 h t l l t d t• 21 heterosexual male students
I d d t i blIndependent variables:• 2 (bikini/clothed) X 2 (female/male target)
Dependent variables:• BOLD response• BOLD response• Surprise face & body recognition• Hostile Sexism (Glick & Fiske, 1996)Hostile Sexism (Glick & Fiske, 1996)
B d R itiBody Recognition
Fgender(1,20) = 17.78, p < .001, ηp2 = .47; Fclothing(1,20) = 11.33, p < .005, ηp
2 = .36
Hostile Sexism & Whole Brain: Deactivation of Social Cognition Network
Mitchell, 2008
William’s test t(19) = 2 9 p < 005 one tailedWilliam s test t(19) = 2.9, p < .005, one-tailed
HS C l ti ithi PFCHS Correlation within mPFC
0.004
0.005
mat
e
HS & = .38 0.002
0.003
r Est
immPFCBA 10
HS & = -.59 0
0.001
0 00am
eter
BA 1033 voxels
(19) 59 010 002
-0.001
01 2 3 4
Para
r(19) = -.59, p = .01-0.002
Fi t Thi d P V b IATFirst v. Third Person Verb IAT
First Person Verbs use
Third Person Verbs uses
push pull
pushes pullsp
squeeze turn
p squeezes turns u
fold grasp
turns folds grasps grasp grasps
IAT R ltFemale
P ti i t
IAT ResultsMale
P ti i t graspParticipantsParticipants grasp
grasps
graspsgrasps
grasp
t(9)= 1.39, p = nst(15) = -2.22, p < .05, ηp2 = .25
Sexualized Female Bodies (Cikara et al., under review)
Remembered best Associated with first-person actions Sexism de-activates mPFC
Social cognition network
Possible neural signatures for unique prejudices
P j diPrejudices
Come in distinct types From ideas of society & stereotypes in mind From ideas of society & stereotypes in mind Universal across culture
H f i di id l Happen for individuals In distinct regions of brain
But depends on social goals Predict distinct patterns of discriminationp
P j diPrejudices
Come in distinct types From ideas of society & stereotypes in mind From ideas of society & stereotypes in mind Universal across culture
H f i di id l Happen for individuals In distinct regions of brain Predict distinct patterns of discrimination
SCM: US Representative Samplep p(Cuddy et al., JPSP, 2007)
4 5 help
4
4.5
Elderly Christians
Housewives
PITY PRIDEhelp, protect
3.5
th
AmericansDisabled
Christians
Black professionals
Middle-class
IrishRetarded
Whitesexclude, cooperate,
3
War
mt
British
Asians
Poor blacksJews
Whites
Welfare
exclude, demean associate
2.5 ArabsRich
Homeless
Feminists
WelfareTurks
DISGUST ENVYattack, 2
2 2.5 3 3.5 4 4.5
Competence
DISGUST ENVYfight
Predicting Discrimination: US Surveyg y(Cuddy et al., JPSP, 2007)
0.6
0.7
stereotypes boostemotions boost
0.4
0.5
nAdj R
Squ
are
0.2
0.3
Cha
nge in
0
0.1
Active Facilitation Active Harm Passive Facilitation Passive Harm
B h i O i t tiBehavior Orientation
O ll C l M d lOverall Causal Model
Social Structure Stereotypes(W th
Emotions(Di t Pit
Behavior(A ti(Competition,
Status)(Warmth, Competence)
(Disgust, Pity,Envy, Pride)
(Active,PassiveHelp &Harm)Harm)
P j diPrejudices
Come in distinct types From ideas of society & stereotypes in mind From ideas of society & stereotypes in mind Universal across culture
H f i di id l Happen for individuals In distinct regions of brain Predict distinct patterns of discrimination
I li tiImplications
Not all biases are equivalent Most stereotypes are ambivalent Most prejudices create mixed emotions Most discrimination includes both help & harm
People don’t know this Automatic = unconscious Automatic unconscious Ambiguous = hard to detect Ambivalent = mixed Ambivalent mixed
Monitor overall patterns
U S C ll b tU.S. Collaborators
Tiane Lee, Ann Marie Russell, Mina Cikara, Princeton Lasana Harris, New York University Amy Cuddy, Harvard Business School Cara Talaska, Eastern Michigan University
P C i ll U i i f R h Peter Caprariello, University of Rochester Virginia Kwan, Alex Todorov, Princeton University
P t Gli k L U i it Peter Glick, Lawrence University Jennifer Eberhardt, Stanford University
Shelly Chaiken Berkeley CA Shelly Chaiken, Berkeley CA
I t ti l C ll b tInternational Collaborators Britain: J Oldmeadow Britain: J. Oldmeadow Belgium: S. Demoulin, J-Ph. Leyens, V. Yzerbyt Bulgaria: K. Petkova & V. Todorov China: V. Kwan & M. Bond Costa Rica: V. Smith-Castro & R. Perez France: J-C. Croizet Germany: R. Ziegler Israel: N. Rouhana Italy: F. Durante, D. Capozza, C. Volpato Japan: M. Yamamoto & T. T. Htun
Korea: H J Kim Korea: H-J. Kim Netherlands: E. Sleebos & N. Ellemers Norway: J. Perry Portugal: J Vala Portugal: J. Vala South Africa: A. Akande Spain: R. Rodriguez Bailon, E. Morales, & M. Moya Wales: G. Maio