Implementation of drama therapy services in the North American school system: Responses from the field
Bibliographic record
Abstract
Abstract Drama therapy is an emerging mental health practice in North American schools. Yet little research has focused directly on the role of drama therapists in schools or their service navigation practices and challenges. From February to July of 2018, drama therapists affiliated with the North American Drama Therapy Association currently working in North American schools were invited to participate in an online Qualtrics survey. A qualitative thematic analysis was conducted on open‐ended response items, the results of which reflect drama therapists' experiences pioneering direct and indirect services and responding to implementation challenges. Findings suggest that while drama therapists provide a number of critical school services, there are identifiable barriers to full integration into the system. Implications for drama therapists include the need for a further specified and structured role, formalized inclusion in student support teams, consistent opportunities to support both students and staff, more secure funding sources, clear implementation logistics, and increased awareness and education about drama therapy among school administrators, faculty, and mental health support staff.
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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 | 0.018 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.006 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".