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Record W4249385841 · doi:10.4000/itineraires.2642

Récits de société

2015· paratext· fr· W4249385841 on OpenAlexaboutno aff

Bibliographic record

VenueItinéraires · 2015
Typeparatext
Languagefr
FieldArts and Humanities
TopicLiterature and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Quelle approche critique pour aborder les « innombrables récits » (Barthes) qui traversent et construisent notre imaginaire social ? Prise en tenailles entre le storytelling et le grand roman social, la notion de récit de société peut-elle réconcilier la littérature avec les usages communs de la narration, de l’anecdote au journalisme littéraire ? Dans l’optique d’un rapprochement disciplinaire entre histoire, littérature et sciences de l’information, ce volume interroge les formes que peut prendre le récit littéraire dans son amplitude à la fois générique et thématique. Il aborde d’abord l’idée de « récit de société » en la confrontant à des contre-modèles comme les mythes ou le storytelling, tout en intégrant la possibilité d’une approche transmédiale. Dans un second temps, le récit de société est travaillé comme un outil qui dépasse et transcende les genres littéraires, pour enfin agir comme un révélateur de désordres sociaux. La fiction narrative endosse alors un rôle de contre-pouvoir régulateur qui permet de reconfigurer les imaginaires, les repolitiser ou en faire apparaître les tabous. Le dossier est complété par une sélection de varia portant sur le Québec entrant en résonance avec le thème principal du volume avec un accent particulier mis sur les performances, les légendes et les pratiques musicales des Premières Nations.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.241
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.017

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 head0.035
GPT teacher head0.282
Teacher spread0.247 · 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; both teacher heads agree on what is shown here.

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
Published2015
Admission routes1
Has abstractyes

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