Compulsive “grazing” and addictive tendencies towards food
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
Evidence suggests that palatable foods can promote an addictive process akin to drugs of abuse. To date, research in the field of food addiction has focused largely on binge eating as a symptom of this condition. The present study investigated relationships between food addiction and other patterns of overeating, such as compulsive grazing-a behaviour with high relevance to bariatric surgery outcomes. Adults between the ages of 20 and 50 years (n = 232) were recruited for the study. Participants completed questionnaires to assess various eating behaviours and related personality measures. Regression analysis employed the Yale Food Addiction Scale (YFAS) as the dependent variable. Results indicated that addictive personality traits, reward-driven eating, and compulsive grazing each contributed unique variance to the YFAS symptom score. These findings provide novel insight into the association between a grazing pattern of overeating and food addiction, and emphasize that similar to traditional addiction disorders such as alcoholism, binge consumption is not the only pattern of compulsive intake.
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) | 0.000 | 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 | 0.001 |
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