Same view, different lens: How intersectional identities reduce Americans’ stereotypes of threat regarding Arab and Black men
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Because Black and Arab men may be stereotyped as hostile in different ways (i.e., physical vs. ideological), this study assessed whether an old age identity versus gay identity would reduce stereotypes related to hostility for Black and Arab men differently. We assessed whether the addition of an old age identity reduces hostile stereotype content more for Black men than for Arab men. In line with our hypothesis, an old age identity resulted in participants reporting fewer hostile stereotypes for Black men, but not for Arab men. We also assessed whether a gay identity reduces hostile stereotype content in the same way for Black and Arab men. As expected, a gay identity resulted in participants reporting fewer hostile stereotypes for both male groups. The present study demonstrates the importance of considering intersecting identities in person perception and highlights the unique challenges faced by men belonging to these intersecting groups.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 it