Racial Identity, Racial Context, and Ingroup Status: Implications for Attributions to Discrimination Among Black Canadians
Bibliographic record
Abstract
Using Self-Categorization Theory as a conceptual framework for understanding attributions to discrimination, the primary aim of this study was to move beyond focusing on the degree to which racial minorities define themselves in terms of their race (i.e., racial centrality). Specifically, the authors examined how multiple dimensions of Black racial identity affected attributions to racial discrimination in two attributionally ambiguous situations. For Black Canadians exposed to intergroup contexts, racial identity beliefs that emphasize the distinctiveness of the Black experience (low public regard and nationalist ideology) were associated with greater perceived discrimination across the two situations, whereas racial identity beliefs that stress the similarities between the Black experience and that of other groups (assimilationist and humanist ideologies) were associated with perceiving less discrimination. Racial identity beliefs did not predict attributions when the target and potential perpetrator were members of the same racial group. Implications for studying the relationship between Black racial identity and perceived discrimination are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".