A Behavioral Model for Analysis and Intervention of Healthy Dietary Behavior
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
Proper diet is an important way to improve and maintain health, which involves the comprehensive matching of food (category, quantity) and individual (physical fitness, health). Behavior is the key point to achieve this matching. Without behavior change, all cognition and motivations can’t get any tangible health benefits. The aim of this study was to construct a model for analysis and intervention of healthy dietary behavior (HDB). Based on the Integrated Behavioral Model (IBM), Maslow’s hierarchy of needs and Satter’s hierarchy of food needs, this study abstracted the characteristics of longevity, specificity and uncertainty of Healthy Dietary Behavior, constructed a Healthy Dietary Behavioral Model (HDBM), divided 9 negative behaviors of healthy diet (NBHD), and put forward 9 behavior interventions, which could provide ideas for change and habit formation of HDB.
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 | 0.001 |
| 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) | 0.000 | 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