Evidence that Social Comparison with the Thin Ideal Affects Implicit Self-Evaluation
Bibliographic record
Abstract
Research on body image suggests that social comparison with the thin ideal has a number of negative consequences for women. To date, however, little is known on how social comparison with the thin ideal affects the accessibility of positive thoughts and feelings about the self (implicit self-liking). To examine this issue, one hundred and twenty-six young women from two countries, Canada and France, were exposed either to fourteen photographs of the thin ideal or to the same images airbrushed to make the models look slightly larger. They next completed a lexical decision task with positive self-related transitive verbs as stimuli (e.g., ‘To like myself’). As expected, women exposed to the thin-ideal models took longer to correctly identify self-liking verbs compared to women who were exposed to slightly larger models. No effects were found on other positive verbs, and there were no effects of the country. The results suggest that social comparison with the thin ideal reduces implicit self-liking among young women.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".