Dysfunctional eating attitudes and behaviors among athletes: The role and potential of virtual reality
Bibliographic record
Abstract
This brief article discusses the current state of knowledge on the use of virtual reality in assessing and/or treating body image and body image disturbances among athletes with dysfunctional eating attitudes and behaviors ( i.e., eating disorders and disordered eating). The scientific void on this subject, as demonstrated by the literature review, clearly demonstrates that more research is needed to fully understand the contribution of virtual reality in in this field. Cet article discute de l’état actuel des connaissances sur l’utilisation de la réalité virtuelle pour évaluer et/ou traiter l’image du corps ainsi que les perturbations de l’image du corps chez les athlètes présentant des attitudes et des comportements alimentaire fonctionnels (c-à-d., troubles des conduites alimentaires et alimentation troublée). Le manque de données scientifiques sur ce sujet, comme le démontre la revue de la littérature, montre qu’il est nécessaire de mener davantage de recherches pour comprendre l’apport de la réalité virtuelle dans ce domaine.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".