Effects of Exposure to Thin Media Images: Evidence of Self-Enhancement among Restrained Eaters
Bibliographic record
Abstract
The effects of viewing media-portrayed idealized body images on eating, self-esteem, body image, and mood among restrained and unrestrained eaters were examined. Study 1 found that restrained eaters (i.e., dieters), but not unrestrained eaters, rated both their ideal and current body sizes as smaller and disinhibited their food intake following exposure to idealized body images. These results suggest that restrained eaters are susceptible to a “thin fantasy” brought about by viewing ideal body images. Study 2 found that strengthening thinness attainability beliefs can further enhance the thin fantasy demonstrated by restrained eaters following exposure to idealized body images. Study 3 examined whether demand characteristics moderate these effects of media-portrayed idealized body images. As predicted, when explicit demand characteristics were present, participants reported feeling worse following exposure to thin models. The complexities of the media’s role in the development and maintenance of body dissatisfaction and dieting behavior are discussed.
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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 | 0.000 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".