Safe Dance Practice Knowledge, Beliefs, and Behaviors among Alberta Dance Teachers
Bibliographic record
Abstract
Dance teachers are ideally positioned to implement safe dance practices and injury prevention strategies for their students. However, to date, it is unclear whether these safe dance practices are being utilized and implemented by teachers in dance schools and private studios. To this end, we aimed to understand dance teachers’ knowledge, beliefs, and behaviors related to safe dance practice and dance-related injury by surveying a sample of 73 dance instructors teaching primarily in urban centers. While general knowledge is high, some teachers reported gaps in their understanding of injury risk. Most common barriers to implementing safe dance practices were insufficient time (20/52 [38%]), lack of knowledge/training (11/52 [21%]) and no student interest (10/52 [19%]). Addressing these barriers with dance teacher training, inclusive of safe dance practice principles, is essential to ensuring the safety and well-being of dance student populations.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".