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Record W2927156007 · doi:10.4000/contextes.7903

Ce que le roman catholique fait au roman sentimental : le cas de la collection « Amour et aventure »

2019· article· fr· W2927156007 on OpenAlexaffabout
Marie-Pier Luneau, Jean‐Philippe Warren

Bibliographic record

VenueContextes · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsConcordia UniversityUniversité de Sherbrooke
Fundersnot available
KeywordsFidesHumanitiesArtPhilosophyTheology

Abstract

fetched live from OpenAlex

Du début des années 1940 au milieu des années 1960, l’édition populaire au Québec connaît des succès sans précédents, notamment par le biais de séries en fascicules principalement publiées par les Éditions Police-Journal. Le contenu de ces fascicules, plus moderne et urbain, échappe à l’emprise des autorités cléricales et propose des valeurs contestables sous l’angle de la morale catholique. Pour contrer ce phénomène, les Éditions Fides, maison catholique, créent en 1947 la collection « Amour et aventure », destinée principalement à un lectorat féminin. En examinant ces textes du point de vue de la logique du roman sentimental, cet article cherche à en comprendre l’échec.From the early 1940s to the mid-1960s, popular edition in Quebec enjoyed unprecedented successes, notably through the publication of many series of short novels mainly published by Éditions Police-Journal. The content of these more modern and urban short novels escaped the control of the clerical authorities and proposed, in the opinion of Roman Catholic elites, questionable values. To counter such a growing influence, Fides created the collection “Amour et aventure” in 1947. Analysing these publications from the perspective of the more commercial sentimental novels, this article seeks to understand the reasons behind its failure.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.716
Threshold uncertainty score0.566

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.015
Scholarly communication0.0090.003
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.006
GPT teacher head0.244
Teacher spread0.238 · 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
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

Citations1
Published2019
Admission routes2
Has abstractyes

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