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Record W3123725441 · doi:10.1002/pits.22481

Implementation of drama therapy services in the North American school system: Responses from the field

2021· article· en· W3123725441 on OpenAlexaff
Jason S. Frydman, Christine Mayor

Bibliographic record

VenuePsychology in the Schools · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsDramaThematic analysisDrama therapyMental healthInclusion (mineral)PsychologyMedical educationService (business)Qualitative researchPedagogyMedicinePsychotherapistSociologySocial psychologySocial science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.043
GPT teacher head0.376
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2021
Admission routes1
Has abstractyes

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