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Record W2463255201 · doi:10.7202/1036748ar

L’écrivain imaginaire dans la nouvelle de l’Ouest : Marguerite-A. Primeau, Lise Gaboury-Diallo, Gisèle Villeneuve et Claudine Potvin

2016· article· fr· W2463255201 on OpenAlexaffvenueabout
Pamela V. Sing

Bibliographic record

VenueCahiers franco-canadiens de l Ouest · 2016
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

En postulant, d’une part, que la construction textuelle de la figure de l’artiste, que celui-ci soit écrivain, peintre ou musicien, a forcément quelque chose d’autofictionnel et, d’autre part, que les rapports que l’artiste sent avoir vis-à-vis des instances de la légitimation reçoivent un traitement métaphorique sur le plan de la spatialisation, nous nous intéresserons dans cet article aux façons dont la nouvelle traite de l’artiste, de la pratique et de la réception de son art. La prémisse principale est que les conditions de production réelles infléchissent la construction des conditions fictives de sorte que plus l’écrivain se perçoit légitimé, plus l’artiste imaginaire chez lui a tendance à circuler dans des espaces définis et d’ordre institutionnel. Le choix des écrivaines à l’étude permettra de valider cette prémisse dans la mesure où elles écrivent ou écrivaient toutes en tant que résidantes de l’Ouest canadien, mais en entretenant chacune des rapports avec une francophonie différente et aussi, par conséquent, avec des institutions littéraires différentes. Il s’agit de Marguerite-A. Primeau, Lise Gaboury-Diallo, Gisèle Villeneuve et Claudine Potvin.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.974
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.019
Scholarly communication0.0110.004
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.008
GPT teacher head0.233
Teacher spread0.224 · 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

Citations0
Published2016
Admission routes3
Has abstractyes

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