Reconceptualizing Recovery: Integrating Lived Experience Perspectives Into Traditional Eating Disorder Recovery Frameworks
Bibliographic record
Abstract
Eating disorder recovery has long been conceptualized as comprising the domains of weight, behaviors, and thoughts. Criteria for these domains are generally absolute (e.g., no specified behaviors in a set time frame) and determined by researchers and/or clinicians. This Open Forum draws on the knowledge of experts with lived experience to situate their perspectives against existing models of eating disorder recovery. Definitions of eating disorder recovery could be improved by deemphasizing a single weight target in recovery and acknowledging the nonlinear nature of thoughts and behaviors. The authors provide examples of ways that clinicians and researchers can integrate these improvements into their practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.002 |
| Science and technology studies | 0.012 | 0.090 |
| Scholarly communication | 0.022 | 0.034 |
| Open science | 0.005 | 0.027 |
| Research integrity | 0.006 | 0.014 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".