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Record W1604038676 · doi:10.4000/gc.2076

Luc Provost présente Mado

2012· article· fr· W1604038676 on OpenAlexaboutno aff
Charlotte Prieur

Bibliographic record

VenueGéographie et cultures · 2012
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanitiesQueen (butterfly)SpectaclePolitical science

Abstract

fetched live from OpenAlex

Cet entretien a été réalisé avec Luc Provost1, la drag-queen montréalaise la plus célèbre dont le personnage Mado est une effigie des milieux LGBT montréalais. Une drag queen est généralement une personne qui s’identifie comme un homme, mais qui performe de manière ponctuelle un personnage féminin. Les drag queen sont nombreuses à Montréal et font partie intégrante du Village gay de Montréal, notamment grâce à l’institution du Cabaret Mado, ouvert par Luc Provost et ses associés, il y a maintenant dix ans. Mado fête ses vingt-cinq ans de scène cette année. Devenu personnage incontournable de la scène gay, c’est aussi un personnage apprécié par l’ensemble des Québécois pour son franc parlé et sa joie de vivre débordante. Ses expressions typiquement montréalaises son inspirées de la ville de son enfance et de la littérature québécoise, notamment de Michel Tremblay2. Luc Provost performe Mado non seulement dans son cabaret, mais organise également le spectacle Mascara qui a lieu à Montréal dans le cadre du festival LGBT Divers/Cité depuis quinze ans. Il a également conquis la France où il joue son spectacle depuis dix ans.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.621
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.040
GPT teacher head0.314
Teacher spread0.275 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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