The Role of Racial Identity in Responses to Thin Media Ideals
Why this work is in the frame
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Bibliographic record
Abstract
A survey of 286 White and Black female college students examined the racial differences in perception of thin media images and its relation to personal importance of thinness and fear of fat. Consistent with the intergroup literature and social identity theory, this study demonstrated that Black women rated thin media images less desirable and endorsed thinness less strongly than their White counterparts. Perceived desirability of thin media images was related to greater personal endorsement of thinness among both White and Black women but related only to White women's, not to Black women's, fear of fat. Racial identity interacted with race in predicting personal endorsement of thinness, with the highest ratings among high White identifiers and the lowest ratings among high Black identifiers. It did not, however, interact with perceived desirability of thin media images in predicting fear of fat.
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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 | 0.024 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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