Examining the Dissociative Basis for Body Image Disturbances
Bibliographic record
Abstract
Although dissociative symptoms have been linked with both food- and appearance-related aspects of eatingdisorders, the psychological mechanisms underlying these relationships remain unclear. The present studyevaluated the hypothesis that the disturbances of self-identity attributed to dissociation can manifest asdisturbances of body image and, in turn, undermine body-specific self-evaluations relevant to disordered eating(i.e., body comparison, body dissatisfaction, and internalization of the thin ideal). Ninety-three female universitystudents completed self-report measures of dissociation and body-related aspects of disordered eating. Inaddition, the method of constant stimuli was used to experimentally derive three measures of body imagedisturbance: (1) accuracy of body size estimations (body image distortion), (2) ability to discriminate betweendifferent body sizes (body image sensitivity), and (3) consistency in one’s body size estimations (body imagevariability). The findings show that dissociation is related to symptoms of disordered eating, and that theserelationships may be mediated by body image instability. Collectively, these findings support the notion that thebody image attitudes and behaviours that characterize eating disorders may derive from proprioceptive deficitsdue to dissociation.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".