Are Black Women and Girls Associated With Danger? Implicit Racial Bias at the Intersection of Target Age and Gender
Bibliographic record
Abstract
We investigated whether stereotypes linking Black men and Black boys with violence and criminality generalize to Black women and Black girls. In Experiments 1 and 2, non-Black participants completed sequential-priming tasks wherein they saw faces varying in race, age, and gender before categorizing danger-related objects or words. Experiment 3 compared task performance across non-Black and Black participants. Results revealed that (a) implicit stereotyping of Blacks as more dangerous than Whites emerged across target age, target gender, and perceiver race, with (b) a similar magnitude of racial bias across adult and child targets and (c) a smaller magnitude for female than male targets. Evidence for age bias and gender bias also emerged whereby (d) across race, adult targets were more strongly associated with danger than were child targets, and (e) within Black (but not White) targets, male targets were more strongly associated with danger than were female targets.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".