Exposing Shame in Dancers and Athletes: Shame, Trauma, and Dissociation in a Nonclinical Population
Bibliographic record
Abstract
The relationship between shame, past traumatic events, and dissociation in a nonclinical university and community sample of pre-professional/professional dancers (n = 140) and recreational/competitive athletes (n = 99) was investigated in this cross-sectional study, which was approved by an institutional review board. Participants completed 3 self-report measures (i.e., the Dissociative Experiences Scale, Internalized Shame Scale, Traumatic Events Questionnaire), and the analyses included correlation, multivariate analysis of variance, and a series of regression analyses. The investigation indicated that dancers had increased shame and dissociation in comparison to athletes, and males had more traumatic experiences and increased dissociation relative to females. In the regression analyses, being a dancer, traumatic experiences, and shame predicted dissociation. Clinical recommendations include integrating shame treatment with dissociative-disordered patients and noting that dancers may need more psychological skill training to manage shame and 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".