Arguments about race Social scientists Race is a social construction. There are no meaningful or...

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Transcript of Arguments about race Social scientists Race is a social construction. There are no meaningful or...

Arguments about race

Social scientists

Race is a social construction. There are no meaningful or important differences between groups that have been called different “races.”

Concerns: geneticization and increase in racism (history and attitudinal research)

Biological scientists

“Ancestry” is not the same thing as race. Accurate understanding of how genes work will prevent racism.

Concerns: geneticization and public (mis)understandings of genetics

Race, health and genetic variation at the UIWhat do “regular” UI experts think race is? Are there disciplinary differences? Biological / social science differences? How do professors / T.A.s teach about race in their classrooms?

What do students think race is? How do they incorporate, or not, what they hear in UI classrooms about race, genes, health disparities, evolution, behavior etc. into their beliefs about race?

Methods Qualitative: 40 interviews with sociologists (9), biologists (8), biological anthropologists (10), psychologists (2), and 5-10 undergraduate seniors from each discipline.

Quantitative: Student survey assessing (a) genetic / environmental explanations of physical traits, behaviors, health conditions (b) what happens to these explanations when race is a factor.

The Undergraduate SurveyGOAL 1:

1. (i) Identify the degree to which students have succumbed to geneticizing trends. How likely are they, in general, to explain a complex trait or behavior with reference to genes, the focus of biology classes, or to the environment, as emphasized by sociology courses, or (more accurately, in the view of experts) to some combination of the two?

(ii) What is the effect of knowledge about genetics? Does understanding what genes are, how they function and how they are inherited make a student more or less likely to look to genes when explaining human behavior or group health disparities?

The Undergraduate Survey

Goal 2

How does race (when associated with a trait or behavior) affect those explanations. Does the race of an individual displaying a particular trait or behavior affect the extent to which students look to the environment or to genetics to account for it?

(Research shows association between racism and genetic explanations of group differences)

The Undergraduate Survey

Goal 3:

Does priming students to think of reproduction, family and kinship increase genetic explanations of behavior and / or produce higher measures of racial prejudice?

The Undergraduate Survey

For each of the traits or behaviors described in the following questions, please indicate what percent you think is due to the genes a person inherits, and what percent is due to learning, experience, income, education and other aspects of the environment.

21 point scale – • finer grade choice• may help prevent framing genes and environment as mutually

exclusive and oppositional.

Part 1 • List of 18 traits.

• Physical traits; height, skin color, freckles and birth weight.

• Complex characteristics; athleticism, intelligence, criminality, drive to succeed, sexual orientation, sexual interest, alcoholism and drug abuse.

• • Health conditions; diabetes, heart disease, lung cancer,

sickle-cell anemia, hemophilia, and breast cancer

Part 2 – Vignettes – 4 versions• Version 1 - Stereotype-challenging

• A middle-aged white man who gets drunk several times a week and often can't remember what happened during these drinking episodes.

• A 30 year-old Hispanic woman who is a good all round athlete, was on the high school varsity basketball team at school and still works out several times a week.

• A highly intelligent black man who did very well in school and is now a partner in a large law firm.

• An Asian-American woman who dropped out of school at 16, was arrested three times before she was 20 and is now serving time in prison.

• A 50 year-old white woman who is diagnosed with high blood pressure and at a high risk of suffering a stroke

Vignettes: Version 3 -Stereotype set

• A middle-aged black man who gets drunk several times a week and often can't remember what happened during these drinking episodes

• A 30 year-old white woman who is a good all round athlete, was on the high school varsity basketball team at school and still works out several times a week.

• A highly intelligent Asian-American man who did very well in school and is now a partner in a large law firm.

• A Hispanic woman who dropped out of school at 16, was arrested three times before she was 20 and is now serving time in prison

• A 50 year-old black woman who is diagnosed with high blood pressure and a high risk of suffering a stroke.

Vignettes – 2 Priming QuestionsVersion 2 (stereotype challenging + priming) and Version 4 (stereotype set + priming)

Inheritance and kinship• Please indicate on the following list who genes are

inherited from:• Mother, Father, Sister, Brother, Aunt, Uncle, Grandparent,

Grandparent’s sister, Grandparent’s brother, Grandparent’s parent.

• Reproduction and inheritance - Additional Vignette• “A white / black woman who had two difficult pregnancies,

two premature (early) births and two infants who required intensive medical care after birth.”

Part 3 • Brief definitions of concepts • “a gene,” • “ancestry” • “evolution” • “Social construction”

• Qualitative: The goal was to probe their understandings of these concepts and to unearth any common misconceptions.

Part 4• Demographic• Gender• Age• Race• Political affiliation• Major

• Racial attitude question• “How comfortable would you be if a close family member

married a person who identifies as (white / African-American / Hispanic / Asian-American / Native American)”

• V. comfortable / somewhat comfortable / somewhat uncomfortable / v. uncomfortable

Abstract traits – Part 1Characteristic Mean Score Percent due to genes

Skin Color 3.49 87.5 %

Height 4.70 81.5 %

Freckles 5.56 77.5 %

Birth Weight 8.71 61.5 %

     

Athleticism 10.14 54.5 %

Intelligence 10.56 52.25 %

Alcoholism 11.69 46.5 %

Drug Abuse 13.19 39 %

Drive to succeed 14.80 31 %

Criminality 16.83 21 %

     

Sexual Orientation 9.22 59 %

Sexual Interest 13.05 39.75 %

     

Sickle Cell Anemia 4.61 82 %

Hemophilia 4.65 81.75 %

     

Heart Disease 8.98 60 %

Diabetes 9.33 58.5 %

     

Lung Cancer 13.25 38.75 %

Breast Cancer 7.52 67.5 %

Scores

0 = 100% genetic

6 = 75% genetic

11 = 50% genetic

16 = 25% genetic

21 = 0% genetic

Vignettes 

AlcoholismBEFORE Abstract 

AFTER ->VERSION1White man

 

VERSION2

 

VERSION3Black man

 

VERSION4

 

Cumulative1+2+3+4

 Mean:Variance:SD:N: % students who responded 75% or more genetic

11.6923.044.80527 23%

15.0023.854.88122 12%

14.9122.564.75122 10%

15.2822.274.72127 10%

14.5227.435.24137 10%

14.9324.034.89527 10.5%

Alcoholism

Athleticism

AthleticismBEFOREAbstract

AFTER VERSION1 Hispanicwoman

VERSION 2

VERSION 3Whitewoman

VERSION 4 Cumulative1+2+3+4

Mean:Variance:SD:N: % students who responded 75% or more genetic

10.1419.774.45521 31%

13.7517.294.16122 8%

12.9524.304.93122 19%

14.2020.374.51127 9%

13.7022.834.78137 13%

13.65 12.25%

Athleticism

Intelligence

 Intelligence

BEFOREAbstract

AFTERVERSION  1Black man

 VERSION 2

 VERSION 3As-Am man

 VERSION 4

 Cumulative1+2+3+4

Mean:Variance:SD:N: % students who responded 75% or more genetic

10.5619.684.44525 26%

13.6925.355.03121 15%

12.6628.265.32121 21%

14.0425.025.00127 14%

13.5024.494.95137 16%

13.47 16.5%

Intelligence

CriminalityCriminality BEFORE

Abstract AFTER VERSION1As-Am woman

 VERSION 2

 VERSION 3Hispan Woman

 VERSION 4

 Cumulative1+2+3+4

Mean:Variance:SD:N: % students who responded 75% or more genetic

16.8315.533.94527 2%

17.1510.543.25121 1%

16.3818.244.27121 4%

17.5013.433.66127 4%

17.2615.383.92136 6%

17.07 3.75%

Criminality

Heart DiseaseHeart Dx BEFORE

AbstractAFTERVERSION 1

VERSION 2

VERSION 3

VERSION 4

Cumulative1+2+3+4

Mean:Variance:SD:N: % students who responded 75% or more genetic

8.9817.124.14525 41%

10.2522.804.77122 32%

9.8822.144.70121 36%

9.2820.574.54127 43%

9.2022.494.74137 47%

9.65 39.5%

Heart Dx

White – racial attitude Q1

Questions for consultants• Is the relationship between the vignette question form and the

decrease in genetic attributions significant?

• Control for gender, political affiliation?

• Difference between vignettes – i.e. effect of race and priming. Is there a trend? What sample size would I need if I was to do this again?

• Is there a relationship between genetic attributions and genetic knowledge?

• Is there a relationship between racial discomfort and genetic attributions? Overall? For each version?