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Record W2772328735 · doi:10.4000/belphegor.1022

« Un genre de roman ni trop haut ni trop bas » : Georges Ohnet et la littérature moyenne

2017· article· fr· W2772328735 on OpenAlexvenueno aff
Jean-Marie Seillan

Bibliographic record

VenueBelphégor · 2017
Typearticle
Languagefr
FieldArts and Humanities
TopicLiterature and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Dans le cadre de la réflexion sur une littérature dite « moyenne », la présente étude revient sur la situation singulière faite à partir de 1880 à l’œuvre romanesque et théâtrale de Georges Ohnet en examinant l’accueil qu’elle a reçu de ses contemporains. Rejeté pour indignité esthétique par les écrivains auxquels il prétendait s’égaler, il n’était pas pour autant confondu avec les romanciers populaires dont il ne pratiquait pas les recettes. Source de vives jalousies, son immense succès commercial (Le Maître de forges, paru en 1882, a connu 250 éditions) s’est accompagné de la part de la critique d’éreintements quasi unanimes et d’une cruauté rare. Ni artiste ni soutier du roman-feuilleton, cet écrivain aujourd’hui oublié a été relégué dans une sorte d’entre-deux, de no man’s land littéraire auquel l’histoire de la littérature n’a pas donné de nom. Faut-il voir en lui un représentant d’une littérature qu’on ne dit pas moyenne ?

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.007
Scholarly communication0.0060.004
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0130.002

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 head0.015
GPT teacher head0.247
Teacher spread0.232 · 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

Citations10
Published2017
Admission routes1
Has abstractyes

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