Anxiety and the Influences of Flow, Trauma, and Fantasy Experiences on Dancers
Bibliographic record
Abstract
This study investigated the psychological effects of anxiety on professional and pre-professional dancers ( n = 73), in particular the relationships between anxiety and flow, past traumatic events, and fantasy. Results demonstrated that anxiety was statistically related to increased age, total traumatic events, increased fantasy proneness, with no association to flow. All dancers experienced moderate-to-high global flow experiences, and 75.3% of the dancers endorsed high autotelic experiences (an ability to regularly transform potential threats into positive flow experiences). In a stepwise linear regression analysis, together past traumatic events and fantasy explained 19.4% of the variance for anxiety. Greater mean scores for total traumatic events and lower autotelic flow experiences were found in the dancers with pathological levels of anxiety. Since 23.3% of the dancers endorsed clinical levels of anxiety (panic), further understanding regarding panic and anxiety in a dancer population is recommended, specifically the predictive role fantasy proneness and past traumatic experiences may play in anxiety symptomatology.
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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 | 0.000 | 0.003 |
| 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".