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Record W1550998388 · doi:10.3138/tric.33.2.156

Théâtre amateur et théâtre professionnel en Saskatchewan : d’Unithéâtre à La Troupe du Jour

2012· article· fr· W1550998388 on OpenAlexaffvenueabout
Marie-Diane Clarke, Nicole Mak

Bibliographic record

VenueTheatre Research in Canada · 2012
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsArtHumanitiesAmateurFrenchPolitical scienceLaw

Abstract

fetched live from OpenAlex

Fondée en 1970 par Ian Nelson, David Edney et des étudiants du Cercle français de l’Université de la Saskatchewan, la troupe de théâtre amateur Unithéâtre adopte le mandat de promouvoir la langue française et la culture francophone dans le cadre universitaire et communautaire en Saskatchewan, et se fait rapidement valoir aux yeux du public francophone et anglophone. Son succès artistique dans le milieu théâtral amateur de la Saskatchewan favorise la création en 1985 d’une compagnie théâtrale professionnelle, La Troupe du Jour, dont les fondateurs Carmen Gareau, Alphonse Gaudet et Michel Quirion, anciens membres d’Unithéâtre, se donnent comme mission de refléter avant tout la réalité fransaskoise. Grâce au travail monumental de ses membres et de ses directeurs artistiques et administratifs, notamment Denis Rouleau et Dany Rousseau, La Troupe du Jour a connu depuis sa fondation un épanouissement qui l’a menée vers l’inauguration de son Centre de production en janvier 2011. Elle a su de plus ouvrir les portes de sa scène théâtrale pour établir une relation entre ses racines fransaskoises et les traces d’un ailleurs ou de l’autre, qu’il soit francophone ou anglophone. Grâce au Cercle des écrivains, qu’elle met sur pied en 2000, la troupe travaille à l’élaboration d’une dramaturgie fransaskoise.

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)0.002
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: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.350

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0230.007
Scholarly communication0.0070.003
Open science0.0020.008
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0190.002

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 head0.057
GPT teacher head0.331
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

Citations4
Published2012
Admission routes3
Has abstractyes

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