A Scenario-Based Dieting Self-Efficacy Scale
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The article discusses a scenario-based dieting self-efficacy scale, the DIET-SE, developed from dieter's inventory of eating temptations (DIET). The DIET-SE consists of items that describe scenarios of eating temptations for a range of dieting situations, including high-caloric food temptations. Four studies assessed the psychometric properties of the 11-item DIET-SE. Exploratory factor analysis (N = 392) and confirmatory factors analysis (N = 124) revealed three internally consistent and reliable factors representing challenges to adhere to a diet (high-caloric food temptations [HCF], social and internal factors [SIF], negative emotional events [NEE]). Convergent validity is established with other measures of dieting self-efficacy, as well as measures of eating disinhibition, susceptibility to hunger, and weight loss competency. Criterion-related validity is provided through the assessment of goal adherence, and predictive validity is established for dieters' actual food intake (N = 68). The DIET-SE represents a short, reliable, and valid scenario-based measure of dieting self-efficacy.
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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 it