Decisional balance in anorexia nervosa: capitalizing on ambivalence
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
Abstract Previous research has shown that unlike two‐factor solutions found in other populations, the Decisional Balance (DB) scale for anorexia nervosa consists of three factors: Benefits (Pros), Burdens (Cons), and Functional Avoidance. Objective The purpose of this study was to examine the psychometric properties of the DB scale for anorexia nervosa and to investigate relationships between DB scores and pre‐action stages of change. Method Eighty women with anorexia nervosa were recruited from consecutive referrals to an eating disorder clinic. Participants completed the DB scale, as well as measures to assess validity. Results The DB scale demonstrated good convergent and discriminant validity. Furthermore, relative to individuals in precontemplation, individuals in contemplation reported more disadvantages of anorexia nervosa (i.e. higher Burdens) and more insight regarding how anorexia nervosa provides a means to avoid (i.e. higher Functional Avoidance). Benefits of anorexia nervosa did not change between pre‐action stages. Discussion The clinical implications for enhancing readiness to change are addressed. Copyright © 2002 John Wiley & Sons, Ltd and Eating Disorders Association.
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) | 0.003 | 0.003 |
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