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Record W1498015832 · doi:10.3138/tric.33.2.191

La Maculée de Madeleine Blais-Dahlem : une écriture dramaturgique véridique, ludique et transgressive

2012· article· fr· W1498015832 on OpenAlexaffvenueabout
Louise Forsyth

Bibliographic record

VenueTheatre Research in Canada · 2012
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La Maculée (2011), pièce récente de la dramaturge fransaskoise Madeleine Blais-Dahlem, dramatise la condition difcile et pénible d’une jeune femme francophone qui s’est installée avec son nouveau mari à la campagne saskatchewanaise vers 1920. Sa peine provient des abus de son mari, de la difculté de préserver sa foi catholique, et de la vague galopante d’anglicisation dans l’Ouest canadien, anglicisation qui amène avec elle les couches culturelles et les institutions aliénantes d’une société moderne capitaliste, y compris un protestantisme agressivement évangélisant. La richesse et l’originalité des langages théâtraux employés par Blais-Dahlem exploitent pleinement la potentialité esthétique du bilinguisme et, en même temps, exposent l’actualité d’une thématique à la fois particulière et universelle : la solitude, l’exil, la peur, la perte de la foi et de la langue, la misère, la misogynie, la violence faite aux femmes. La politique soutenue de la compagnie théâtrale professionnelle, La Troupe du Jour de Saskatoon, qui accorde une priorité à l’encouragement de la dramaturgie fransaskoise a joué un rôle capital dans le succès artistique de La Maculée. C’est une politique centrée sur les activités du Cercle des écrivains, des ateliers et des lectures dramatiques, au sein desquelles se trouve une équipe de collègues qui partagent leur énergie créatrice.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.010
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.065
GPT teacher head0.422
Teacher spread0.357 · 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

Citations3
Published2012
Admission routes3
Has abstractyes

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