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Record W4295094329 · doi:10.1177/08933189221121345

Counter-Narratives Mobilized by Deprived Communities Through Theatre Interventions: Deconstructing and Reframing Master Narratives

2022· article· en· W4295094329 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueManagement Communication Quarterly · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsConcordia UniversityHEC Montréal
Fundersnot available
KeywordsNarrativeCognitive reframingSociologyReflexivityConceptualizationNarrative inquiryOppressionGender studiesPoliticsSocial psychologyPsychologyPolitical scienceSocial scienceLiteratureArt

Abstract

fetched live from OpenAlex

Mise au Jeu is a Quebec-based social intervention organization that has been putting on forum theatre – in the Augusto Boal tradition of the theatre of the oppressed – for over 20 years. We investigate how such a non-profit organization creates spaces where members of a deprived communities can elaborate counter-narratives to deconstruct dominant narratives, thereby helping them to make sense of situations of oppression they are living and to act to promote social change. By unpacking counter-narrative strategies and their enabling mechanisms, our study contributes to the narrative tradition in two principal ways. First, while extending Deetz’s work on dominant narratives, we enrich existing understanding of the disruptive power of counter-narratives in situations of social exclusion by bringing to bear the theatrical principles and techniques of Augusto Boal, a missing voice in extant narrative literature. Second, we propose a reflexive discussion related to the political conceptualization of counter-narratives.

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.370
GPT teacher head0.540
Teacher spread0.171 · 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