Assessment of Professional Circus Students’ Psychological Characteristics at Four Strategic Timepoints over the Scholastic Year: A Longitudinal Study Using the Stress Process Model
Bibliographic record
Abstract
OBJECTIVE: The circus professionalization process entails extensive training to mitigate the high-risk demands which increase stress in artists. In high-risk professions, everyday hassles (challenges) contribute greatly to overall stress. To capture the impact of daily challenges on student-artists, the aim of the current study was to describe the magnitude and pattern of daily challenges as well as their relationships with perceived coping, anxiety, fatigue, and psychological distress. METHODS: Ninety-two students at École Nationale de Cirque (ENC), in Montreal, Canada, completed the Circus Daily Challenges Questionnaire (CDCQ) and scales assessing perceived coping, state anxiety, and fatigue at four time points over 1 school year. The Kessler 6 Non-Specific Psychological Distress Scale (K6) was implemented at one time point. RESULTS: Findings revealed significant fluctuations in challenge level and management of challenges throughout the school year, with schedule, technical development, artistic expression, physical preparation, and sleep reported as high during the two examination periods. The lowest challenge-level scores were achieved following the extended breaks in the annual calendar. Daily challenge positively correlated to state anxiety and fatigue, and negatively correlated with perceived coping. The student-artists reported higher prevalence of moderate psychological distress to general populations. CONCLUSION: Befitting the Stress Process Model, a strong interplay between variables was observed, and the life challenges assessment provides a basis for interventions based upon commonalities across the group, as well as individually tailored.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".