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Record W2982235011 · doi:10.1386/dtr_00002_1

Prominent themes in drama therapy effectiveness research

2019· article· en· W2982235011 on OpenAlexaff
Calli Renee Armstrong, Jason S. Frydman, Shea M. Wood

Bibliographic record

VenueDrama Therapy Review · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsMcGill University
Fundersnot available
KeywordsDramaEmpathyDrama therapyPsychologyContext (archaeology)EmpowermentIdentity (music)Empirical researchStigma (botany)Social psychologyPsychotherapistAestheticsEpistemology

Abstract

fetched live from OpenAlex

A strong evidence base is critical for deepening our understanding of how drama therapy works, how practice might be improved and how to best support the growth of the profession. Building on a previous investigation, the authors reviewed available peer-reviewed, English language, empirical drama therapy research from 1945–2018 to answer the question: what are the prominent themes in drama therapy effectiveness research? Within an effectiveness context, the following themes emerged from this analysis: emotional and behavioural symptoms, social skills and social interactions, self-confidence and self-esteem, sense of self and identity, self-expression, well-being, emotional regulation, empathy, academic performance, language and linguistic performance, stigma, bodily awareness, empowerment and spontaneity. Emergent trends in the literature are discussed and a summation of findings is presented. In reference to the findings, the authors advance a rationale for increasing drama therapy quantitative research with validated and reliable measures.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.160
GPT teacher head0.396
Teacher spread0.236 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations29
Published2019
Admission routes1
Has abstractyes

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