Differentially dangerous? Phenotypic racial stereotypicality increases implicit bias among ingroup and outgroup members
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
This article investigates whether within-group differences in perceived phenotypic racial stereotypicality can exacerbate implicit racial stereotyping for Blacks among both ingroup and outgroup members. Two studies with non-Black (Study 1) and Black (Study 2) participants confirmed that high stereotypical (HS) Black targets (i.e., those with darker skin, broader noses and fuller lips) elicited stronger implicit bias in split-second “shoot/don’t shoot” situations than low stereotypical (LS) Black targets or White targets. Specifically, a lower shooting criterion was adopted for HS Black targets, indicating a greater willingness to shoot HS Black targets, resulting in more pronounced bias. Results suggest that the perceived phenotypic racial stereotypicality of Black targets can increase the accessibility of stereotypes linking Blacks with danger, which intensifies racial bias. Further, the article provides the first empirical evidence that stereotypicality biases operate at implicit levels among Blacks when evaluating ingroup members. The implications for stereotypicality research and policing are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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