Perceptions of women and men in mixed-race heterosexual relationships
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
Although the number of mixed-race couples is increasing in North America, these couples continue to experience stigma and discrimination, which can have deleterious effects on individuals in these relationships. In three samples, we examined perceivers' first impressions of targets in mixed-race couples when viewed with their romantic partner versus alone, including their warmth and competence (Sample 1a), global morality (Sample 1b), and specific stereotypic behaviors including likelihood to betray, conform, and be prejudiced (Sample 1c). Partner effects occurred for specific stereotypes relevant for intergroup behaviors such that individuals in mixed-race couples were rated as more likely to betray close others and to be less conforming and less prejudiced than individuals in same-race couples when viewed with their partners. These results suggest that specific stereotypes relevant for intergroup relations are affected by the race of targets' romantic partners and lay the foundation for understanding the unique challenges faced by members of mixed-race couples.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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 it