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Record W2892112436 · doi:10.7202/1051087ar

TRÉSORS DU ROMAN ET DU CONTE

2018· article· fr· W2892112436 on OpenAlexaffvenue
Sophie Ménard

Bibliographic record

VenueVoix et Images · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicDiverse multidisciplinary academic research
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Cet article observe la dynamique narrative du roman Frères, de David Clerson, publié en 2013 chez Héliotrope, comme une configuration créatrice d’épisodes reconnaissables et de motifs recyclés provenant tout à la fois des contes (naissance singulière, main coupée, enveloppement dans une peau de bête, odyssée, mort temporaire, etc.) et de scripts rituels à l’oeuvre dans les codes socioculturels qui régissent les manières de faire les jeunes garçons dans nos sociétés occidentales (rites de passage, « voie des oiseaux », ensauvagement). Contrairement au conte, qui organise des séquences d’actions rituelles accomplies et réussies, et à rebours du rite, dont la finalité est l’agrégation à la communauté, le roman met l’accent sur les échecs de la socialisation comprise dans son sens anthropologique comme une initiation aux différences des sexes et des âges. S’il s’alimente aux trésors des contes et aux logiques initiatiques, c’est pour dire et explorer, par des voies autres, la violence du réel, les difficiles traversées des gués dangereux de l’existence, la fin d’un monde et les désordres de la filiation.

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 score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.020
Scholarly communication0.0070.005
Open science0.0010.006
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0180.002

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 head0.054
GPT teacher head0.389
Teacher spread0.335 · 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".

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Citations0
Published2018
Admission routes2
Has abstractyes

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