Competition affects food choice in women
Bibliographic record
Abstract
OBJECTIVE: To examine women's food choices after exposure to a threatening upward social comparison in an achievement situation. METHOD: Female university students performed three tasks in the presence of a confederate; for some, the situation was competitive and they were made to feel the confederate was likely to outperform them, whereas the remainder performed under noncompetitive circumstances. After completing the tasks, all participants chose a food to eat in a supposedly unrelated taste test. RESULTS: It was expected and found that participants in the high threat condition, in comparison with those in a low threat condition, would be highly motivated to restore their sense of self-worth by successfully competing in an area unrelated to the original inferiority and would, therefore, choose a lower calorie/more nutritious food. A secondary analysis revealed that it was primarily dieters whose food choices were affected by the threat. DISCUSSION: For dieters, competition by means of food choice can provide a means of restoring self-regard when self-esteem has been threatened in some other domain.
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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 | 0.002 |
| 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) | 0.004 | 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".