An Intervention to Modify Expectations of Unrealistic Rewards from Thinness
Bibliographic record
Abstract
This study examined the influence of expectancies about rewards from thinness (RFT) on unhealthy dieting. Females (N=63) participated in a structured discussion about either the benefits or costs of dieting, and target attitudes and behaviors were assessed immediately and at 4-week follow-up. Results suggest that (1) outcome expectancies are important in one's decision to diet; (2) compared to unrestrained eaters, restrained eaters have elevated RFT expectancies; (3) RFT expectancies are amenable to change; and (4) modifying RFT expectancies can shift dieting attitudes and behaviors (participants in the negative expectancy condition had more accurate perceptions of healthy weight, reported intentions to diet less often and less strictly in the future, and made more liberal food choices in a subsequent meal situation). Implications for prevention of unrealistic expectations and unhealthy dieting behaviors are discussed.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".