Do female dieters have an “eating disorder” self-schema?
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
BACKGROUND: The processing of schema-related information is important in the maintenance of specific eating disorder (ED)-related belief systems and psychopathology. To date, most research on differences in the processing of ED schematic information has used interview or self-report questionnaire measures. Dieting is a known risk factor for EDs and dieters have been included in some studies. However, they have not been compared with non-dieters on a novel, objective measure of ED related schema processing. METHODS: The current study recruited healthy female volunteers from the community and divided them into dieting (n = 25) and non-dieting (n = 24) groups using rigorous criteria. ED self-schemas with content unrelated to eating, weight and shape were measured using a self-schema processing task. RESULTS: Dieters endorsed significantly more ED relevant words compared to non-dieters, whereas non-dieters rejected significantly more ED relevant words compared to dieters. Reaction times to endorsements and rejections were non-significant when the two groups were compared. In a surprise recall task, dieters recalled significantly more ED relevant words. CONCLUSION: The results of this study support the presence of ED self-schemas with negative content unrelated to eating, weight and shape in otherwise healthy dieters. Implications for future research and the early identification of individuals vulnerable to EDs are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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