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Record W2180587330 · doi:10.3138/cmlr.2717

Laying Down Pale Memories:Learners Reflecting on Language, Self, and Other in the Middle-School Drama-Languages Classroom

2015· article· en· W2180587330 on OpenAlexvenueno aff
Julia Rothwell

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsDramaPedagogyDisengagement theoryLearner autonomyPsychologyForeign languageComprehension approachSociologyLanguage educationVisual artsArt

Abstract

fetched live from OpenAlex

This article explores one teacher/researcher’s development of a drama–language unit and the learners’ responses to it. The work is underpinned by a model of intercultural language learning which also acknowledges the pluricultural and plurilingual contexts in which foreign languages are taught in Australia. As part of a participatory-action-research doctoral study, process drama became the basis for planned language-learning experiences undertaken with a class of 12-year-old beginner students of German. Challenges still remain when transferring theories of intercultural language learning to classroom practice, particularly in the face of learner disengagement with school language learning. Therefore, the article enhances understandings of the potential benefits of process drama for middle-school languages pedagogy, particularly in relation to the challenging reciprocal aspect of intercultural work. The article is developed around a Bakhtinian framework of language as referential social practice and demonstrates how the drama–languages model can extend traditional cognitive approaches to pedagogy into physical and affective worlds. The effects of this shift are explored from the perspectives of unit planning, learner engagement with language, the development of cultural referents, and awareness of self and other.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.494
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 integrity0.0000.001
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 head0.068
GPT teacher head0.292
Teacher spread0.223 · 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.

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

Citations13
Published2015
Admission routes1
Has abstractyes

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Same venueCanadian Modern Language Review/ La Revue canadienne des langues vivantesSame topicEFL/ESL Teaching and LearningFrench-language works237,207