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Record W2288374587 · doi:10.1080/13569783.2015.1126172

The social habitus of drama: the Ontario drama curriculum in theory and practice

2016· article· en· W2288374587 on OpenAlexaffabout
Kathleen Gallagher

Bibliographic record

VenueResearch in Drama Education The Journal of Applied Theatre and Performance · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsUniversity of TorontoInstitute for Christian Studies
Fundersnot available
KeywordsDramaHabitusCurriculumSociologyPedagogyPractice theoryLiteratureArtSocial scienceCultural capital

Abstract

fetched live from OpenAlex

In this article, the author considers the place of drama in the formal curriculum in Ontario, Canada by considering its position in relation to curriculum theory and the texts that formally articulate it as a discipline to be taught in schools. The drama curriculum in Ontario aims to engage young people in activities and experiences that invite them to contemplate the diverse world in which they live and learn, to examine and question perspectives, and to consider issues of power and exclusion. These aspirations sit interestingly alongside considerations of the drama curriculum as exalted and rebuked by teachers, instructional leaders, and arts coordinators in a large school board in Toronto, Canada.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.201
Threshold uncertainty score0.927

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0270.041
Scholarly communication0.0120.004
Open science0.0020.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.031
GPT teacher head0.335
Teacher spread0.304 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations5
Published2016
Admission routes2
Has abstractyes

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