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Record W1914060301 · doi:10.18192/analyses.v1i1.436

Jake, Joshua et Barney, intellectuels et transfuges : le paradoxal héroïsme des personnages de Mordecai Richler

2006· article· fr· W1914060301 on OpenAlexvenueno aff
Martine-Emmanuelle Lapointe

Bibliographic record

VenueAnalyses Revue de littératures franco-canadiennes et québécoise · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Dans ses recueils d’essais, Mordecai Richler dénonce de manière souvent virulente l’embrigadement forcé de l’écrivain, les protectionnismes culturels et l’enthousiasme parfois trompeur des universitaires en mal de classiques. Cet article porte plus précisément sur les romans St. Urbain’s Horseman (1971), Joshua Then and Now (1980) et Barney’s Version (1997), dans lesquels les héros richleriens — Jake, Joshua et Barney — adoptent à l’égard des institutions culturelles une attitude similaire à celle de Richler l’essayiste. Il s’agira pour l’essentiel d’esquisser les portraits de ces singuliers justiciers qui prétendent révéler les hypocrisies des sociétés trop policées, mais qui oublient parfois de considérer leurs propres démissions.AbstractIn his collections of essays, Mordecai Richler denounces sometimes virulently the inevitable engagement of the writer, the cultural protectionisms and the enthusiasm of the scholars looking for classics. Inspired by Richler’s essays on the writer’s duties, this paper will be devoted to three novels — St. Urbain’s Horseman (1971), Joshua Then and Now (1980) and Barney’s Version (1997) — and to the paradoxical heroism of their main characters. Indeed, they do condemn the hypocrisies of their society and forget at the same time their own resignation.

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)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.980
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.014
Scholarly communication0.0070.005
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.036
GPT teacher head0.312
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 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
Published2006
Admission routes1
Has abstractyes

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Same venueAnalyses Revue de littératures franco-canadiennes et québécoiseSame topicMiddle East and Rwanda ConflictsFrench-language works237,207