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Record W77647320 · doi:10.7202/1033307ar

Lecture et société

2015· article· fr· W77647320 on OpenAlexvenueaboutno aff
Benoît Gauthier, Frank Pierrepont Graves

Bibliographic record

VenueDocumentation et bibliothèques · 2015
Typearticle
Languagefr
FieldArts and Humanities
TopicLiterature and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Diverses études récentes sur les tendances lourdes dans le domaine de la lecture au Québec, au Canada et en France tirent des conclusions négatives sur la place de la lecture dans nos sociétés contemporaines. Cet article synthétise quelques résultats d’une enquête récente qui démontre qu’une grande part de ces affirmations relève du mythe. Les auteurs y rendent compte de la place de la lecture dans les activités de loisir des Canadiens et des Québécois et brossent un portrait de l’évolution de cette activité de 1978 à 1991. Ils tracent ensuite un profil du lecteur québécois et canadien et des types de lectures qu’ils préfèrent. La place des bibliothèques municipales dans la dynamique de la lecture complète la discussion. Globalement, les auteurs concluent que, malgré les prédictions de divers observateurs de la scène culturelle, la lecture n’a rien de suranné dans notre société et que le foisonnement des médias électroniques de masse n’est pas parvenu à la reléguer à I’arrière-plan dans notre civilisation moderne. En fait, quelle que soit la norme, l’écrit se situe au coeur même du nouvel ordre post-industriel.

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)0.005
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.592
Threshold uncertainty score0.821

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0120.011
Scholarly communication0.0130.004
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0510.008

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 head0.038
GPT teacher head0.337
Teacher spread0.299 · 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

Citations1
Published2015
Admission routes2
Has abstractyes

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Same venueDocumentation et bibliothèquesSame topicLiterature and Culture StudiesFrench-language works237,207