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Record W2909163003

Imprimés interdits : La censure des journaux jaunes au Québec, 1955-1975

2017· book· fr· W2909163003 on OpenAlexaboutno aff
Viviane Namaste

Bibliographic record

VenueÉditions du Septentrion eBooks · 2017
Typebook
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Dans le Quebec d'apres-guerre est apparue une nouvelle forme de communication populaire: les «journaux jaunes», ainsi baptises a cause de la pietre qualite de leur papier. On y retrouvait tous les potins concernant les artistes, les cabarets et la vie nocturne, avec des contenus fortement domines par la sexualite. Ces publications ephemeres sont vite devenues la cible du clerge et des moralisateurs qui voulaient epurer la Belle Province. Le maire Jean Drapeau caracterisait d'ailleurs ces journaux de «presse pestilentielle». Quels tactiques d'intimidation et mecanismes juridiques ont utilises religieux et politiciens pour arriver a leurs fins? Viviane Namaste met en lumiere les motivations et les strategies d'interdiction de la litterature populaire et examine pourquoi une comprehension de l'histoire de la censure peut alimenter nos reflexions actuelles, nous invitant ainsi a tirer des lecons de notre passe. Viviane Namaste est professeure titulaire a l'Institut Simone de Beauvoir et titulaire d'une Chaire de recherche sur le VIH/sida et la sante sexuelle a l'Universite Concordia.

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)0.002
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.275

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.026
GPT teacher head0.233
Teacher spread0.207 · 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
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
Published2017
Admission routes1
Has abstractyes

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Same venueÉditions du Septentrion eBooksSame topicHistorical Studies and Socio-cultural AnalysisFrench-language works237,207