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
Introduction: Binge eating disorder was recently recognized as a clinical entity in the diagnostic manuals. More studies are needed exploring the different correlates of binge eating symptoms. Objectives: explore associations between and the predictive role of having experienced traumatic experiences and of alexithymia and/to binge eating symptoms.Methods: 421 participants from the general population and college students (female, n = 300; 71,3%; mean age = 30,7, SD = 11,51) responded to the Traumatic Events Checklist, the Binge Eating Scale and the Toronto Alexithymia Scale-20.Results: Binge eating prevalence was similar to values found in other Portuguese studies. There was a significant association between body mass index (BMI) and binge eating total score, in both genders. Only in the female subsample, reported sexual trauma, family trauma and total of traumatic experiences showed associations with the binge eating total score. In both genders, the binge eating total score correlated with difficulties in identifying and describing feelings (TAS-20). In the female subsample women the binge eating total score also correlated with the external thinking style (TAS-20). Women that reported being overweight or having obesity in childhood presented current higher binge eating levels. The BMI, the total of traumatic experiences and the difficulty in identifying feelings significantly predicted the binge eating total score.Conclusions: This study confirms the role of BMI as a correlate of binge eating and shows that the number of traumatic experiences and the presence of higher levels of alexithymia are associated with binge eating symptoms.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.033 | 0.013 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.019 | 0.027 |
| Open science | 0.014 | 0.020 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.030 | 0.018 |
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