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Record W3002175858 · doi:10.18733/cpi29505

Doing Theatre: Theatre Pedagogy through the Folktale

2020· article· en· W3002175858 on OpenAlexfundvenueno aff
Jean Small

Bibliographic record

VenueCultural and Pedagogical Inquiry · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsnot available
FundersUniversity of Alberta
KeywordsUnconscious mindProblem of universalsPuppetryImitationAdaptation (eye)PsychologyPedagogyForeign languageProcess (computing)ArtVisual artsSociologyLinguisticsComputer sciencePhilosophyPsychoanalysisSocial psychology

Abstract

fetched live from OpenAlex

Theatre Pedagogy holds that cognition is body-based. Through performance the body’s unconscious procedural memory learns. This information learned through repeated interaction with the world is transmitted to the brain where it becomes conscious knowledge. Theatre Pedagogy in this case study is based on the implementation of a Caribbean cultural art form in performance, in order to teach Francophone language and literature at the postsecondary level in Jamaica. This paper describes the experience of “doing theatre” with seven university students to learn the French language and literature based on an adaptation of two of Birago Diop’s folktales. In the process of learning and performing the plays, the students also understood some of the West African cultural universals of life which cut across the lives of learners in their own and in foreign cultural contexts.

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)0.001
metaresearch head score (Gemma)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0080.011
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.002
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 head0.472
GPT teacher head0.458
Teacher spread0.014 · 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

Citations1
Published2020
Admission routes2
Has abstractyes

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