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Record W3187104373 · doi:10.55765/atps.i1.85

Teatro del oprimido - la práctica del teatro forum : el caso de “Marias del Brasil”

2010· article· es· W3187104373 on OpenAlexaff
Tânia Baraúna

Bibliographic record

VenueRevue internationale animation territoires et pratiques socioculturelles · 2010
Typearticle
Languagees
FieldArts and Humanities
TopicArts and Performance Studies
Canadian institutionsUniversité de MontréalUniversité LavalUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Este artículo se pretende mostrar cómo se utiliza el teatro forum en la actuación con grupos comunitarios. Se presenta un estudio de casos llevado a cabo sobre un grupo que se ha formado en las actividades desarrolladas por el Centro de Teatro del Oprimido grupo, formado por mujeres que trabajan como empeladas domésticas, el teatro se presenta como una oportunidad de vivenciar y aprender nuevos conocimientos, de tener momentos de ocio, sueños y alegría, de compartir y vivir con las compañeras historias de vida semejantes. Las participantes declaran haber experimentado cambios en su trabajo y en su vida personal: mejora de la convivencia en el trabajo, con la familia y con los amigos y cambios relacionados con la autoconfianza, seguridad en la resolución de problemas cotidianos, visión crítica del mundo, ejercicio de la ciudadanía, la práctica del teatro forum favorece el desarrollado habilidades que ayudan a tomar conciencia y a deshacer las situaciones de opresión.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0210.010
Scholarly communication0.0050.003
Open science0.0010.008
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.019
GPT teacher head0.292
Teacher spread0.274 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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