Relations between dietary restraint and patterns of alcohol use in young adult women.
Bibliographic record
Abstract
The present study examined relations between dietary restraint and self-reported patterns of alcohol use, including separate assessment of quantity and frequency of alcohol consumption. One hundred seventy-six female university undergraduates completed the Restraint Scale (RS) and measures of their usual quantity and frequency of alcohol consumption over the past year. Quantity and frequency self-reports were scored separately and were also used to calculate 3 additional drinking variables: a composite weekly alcohol consumption score (drinks per week), a binge drinking categorical variable (where participants were classified as either binge drinkers or non-binge drinkers), and a yearly excessive drinking score (number of times in the past year that each participant consumed at least 4 alcoholic beverages per drinking occasion). RS scores were significantly positively correlated with scores on 4 of the 5 drinking behavior measures (i.e., quantity, drinks per week, binge drinking, and yearly excessive drinking, but not frequency). Thus, chronic dieting appears to be related to a relatively heavy drinking pattern that can be characterized as potentially risky, due to its established associations with adverse health and social consequences.
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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 | 0.001 | 0.001 |
| 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 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".