Stereotypes, Prejudice + Discrimination: Intro, contemporary form of prejudice, implicit bias

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22 Terms

1
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Stereotype def

A belief that certain attributes are characteristic of members of a group

2
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Problems with stereotyping (2)

  • Efficient (cognitive miser) but blunt + simplistic

  • Not every individual conforms to the stereotype

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Prejudice def

An attitude (positive or negative) toward a group and its individual members

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More detailed info on stereotypes (3)

  • Knowledge structures about categories of people (or things)

  • Positive, neutral or negative

  • Accurate or inaccurate

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What prejudice involves (3)

  • Prejudging other base don the category they belong to

  • An attitudinal + affective response not based on actual experience

  • Negative or positive

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Discrimination def

Favourable or unfavourable treatment/actions based on group membership

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Relationship between stereotypes, prejudice + discrimination, + important note

  • Beliefs (stereotypes) → lead to attitudes (prejudice) → which in turn shape behaviour (discrimination)

  • They don’t need to occur together: e.g. prejudice can exist without discrimination due to social/legal repurcussions)

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Modern racism def (1), characteristics, start + end

  • Prejudice towards racial groups that exists alongside denial of holding explicitly racist beliefs (due to holding strong egalitarian beliefs)

  • Tends to be more subtle + context-specific, appearing when the racism can be ‘rationalised’

  • Starts with stereotype + ends in discrimination

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Ambivalent sexism description + names of two types

  • Tendency for women to be viewed in more positive light compared to men (“women are wonderful” effect), yet women still face disadvantage

  • Hostile or benevolent

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Hostile sexism def

Endorsement of gender norms + punishment for contravention

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Benevolent sexism def, example (1) + note on impact

Endorsement of gender norm + commendation for adherence

  • E.g. celebrating ‘feminine traits’

  • Can be just as damaging as hostile sexism by keeping women trapped in idealised standards

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Example of benevolent + hostile sexism hand-in-hand

  • Protectiveness + affection conveyed by men who scored high on ambivalent sexism can convey sense of warmth to women that masks hostile sexism

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Automatic cognitive processes meet at least one of the four following criteria (1→3, 3):

  1. Lack of awareness

    • of stimuli (subliminal perception)

    • of response (stereotyping)

    • of stimuli-response relationship (misattribution)

  2. Lack of intentionality

  3. Lack of cognitive cost

  4. Lack of controllability

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Why self-report measures of prejudice are unreliable

  • Individuals may be unaware of their biases + unwilling to express true feelings

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Implicit association test (IAT): what it measures, what is assesses, why it works

  • Measure of relative strength of unconscious link between different concepts + categories

  • Assesses automatic associations

  • Individuals are faster to categorise stimuli that are stereotypically congruent (e.g. white face + positive words), because these are easier to process (compared to incongruent concepts, e.g. male nurse, female pilot etc.)

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How to ‘fake’ the IAT

Slow down all responses

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What other measures has IAT been correlated with? (1)

  • IAT responses to Black faces significantly correlated w/ neural activity in the amygdala → associated with fear + emotional learning

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What does the IAT aim to demonstrate? (2)

  • That behaviour is influenced by social category cues

  • The individual is unaware of the association between the social category cues + their behaviour

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Priming def

The presentation of information designed to activate a concept and hence make it accessible

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Affect misattribution procedure (AMP) why useful (1), how it works (2), examples (2), and what it’s attributed to

  • Measure prejudices that people might not know they have or may wish to deny

  • Subtly present stimuli (primes) related to a social category → then observe how quickly individuals respond to associated words or how they rate neutral images

  • E.g. White participants faster to identify weapon when preceded by Black face, more likely to rate neutral images negatively after primed with Muslim face

  • Attributed to automatic stereotyping rather than explicit prejudice

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Important note on IAT and AMP

  • Doesn’t show whether person endorses the stereotypes or not

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Possible implication of automatic activation of stereotypes (1)

  • May basis for modern forms of discrimination (e.g. modern racism, ambivalent sexism)