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Record W562373142

Les incertitudes de la présence. Identités narratives et expériences sensible dans la littérature de langue française. Algérie-France-Québec

2011· preprint· fr· W562373142 on OpenAlexaboutno aff
Daniel Marcheix

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2011
Typepreprint
Languagefr
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Les parcours identitaires fictifs que donnent à lire de nombreux récits contemporains se nourrissent de leur ancrage dans la phénoménalité du sensible. Cet ouvrage est consacré à l'étude de cette corrélation, aux modalités de sa mise en discours et à ses effets en termes de signification. Les oeuvres analysées sont algériennes, françaises, québécoises et appartiennent donc à la littérature de langue française considérée en extension, sans les insidieuses hiérarchisations dont est trop souvent porteuse la notion de littérature francophone. L'auteur y examine les opérations énonciatives et narratives par lesquelles se déploient les expériences sensibles de personnages qui sont d'abord et avant tout des corps sentants et percevants. Puis il montre comment de ces modes de présence au monde sensible surgissent des formes de vie qui sont précisément les manifestations signifiantes d'identités conçues comme des effets induits par les ressources formelles des textes.

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)0.003
metaresearch head score (Gemma)0.004
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: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.318

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0170.017
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.012
GPT teacher head0.230
Teacher spread0.218 · 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
Published2011
Admission routes1
Has abstractyes

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