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Record W7001813351

Liberté et contraintes dans la littérature québécoise mélanges offerts en hommage aux travaux de Pierre Hébert

2022· other· fr· W7001813351 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languagefr
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)DerogationIdentity (music)
DOInot available

Abstract

fetched live from OpenAlex

"«L’art naît de contraintes, vit de luttes et meurt de liberté», écrivait André Gide. Les travaux sur la censure au Québec menés par le professeur émérite de l’Université de Sherbrooke, Pierre Hébert, ont montré dans toute leur historicité les fondements du contrôle des discours et les combats pour la liberté artistique. Le présent ouvrage entend reconnaître ce legs majeur pour les études québécoises en appréhendant sous un angle novateur les questions censoriales et les diverses formes de régulation ayant pesé sur la culture. Des écrits de la Nouvelle-France à nos jours, comment la production littéraire a-t-elle, tant bien que mal, composé avec les entraves, qu’elles soient contextuelles ou textuelles? L’objectif de l’ouvrage est de cerner les effets des contraintes, quelles qu’elles soient, dans une perspective externe (contraintes financières, familiales, genrées, idéologiques) ou interne (discursives, éditoriales, génériques, etc.). Quels sont, d’hier à aujourd’hui, les mécanismes d’intégration ou, à l’inverse, les stratégies de contournement des cadres et des impératifs qu’une époque impose au littéraire ? Comment la contrainte peut-elle devenir un moteur ou, à tout le moins, un ressort de la création? Les textes réunis ici posent à nouveau la question, à leur manière, de l’influence et des effets des différents dispositifs de contrainte et leurs manifestations dans la littérature québécoise. Avec des textes de : Bernard Andrès, Stéphanie Bernier, Louise Bienvenue, Michel Biron, Pierre Hébert, Kenneth Landry, Yves Lever, Marie-Pier Luneau, Jean Morency, Pierre Rajotte, Philippe Rioux, Lucie Robert."--Page 4 de la couverture

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.140
Threshold uncertainty score0.282

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0150.008
Scholarly communication0.0090.004
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0280.002

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 head0.014
GPT teacher head0.207
Teacher spread0.192 · 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 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
Published2022
Admission routes1
Has abstractyes

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