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Record W2072354592 · doi:10.7202/1026084ar

Marguerite-A. Primeau et les origines de la littérature franco-colombienne

2014· article· fr· W2072354592 on OpenAlexaffvenueabout
John Parker

Bibliographic record

VenueCahiers franco-canadiens de l Ouest · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicLinguistic and Sociocultural Studies
Canadian institutionsBritish Columbia Institute of Technology
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Trois oeuvres de référence, Sauvage-Sauvageon (1984), Le totem (1988) et Ol’ Man, Ol’ dog et l’enfant et autres nouvelles (1995) de l’auteure d’origine albertaine Marguerite-A. Primeau marquent l’arrivée définitive de la littérature franco-colombienne. Depuis plusieurs années, la Colombie-Britannique profite d’une francophonie grandissante qui s’intéresse de plus en plus à son patrimoine et à ses institutions culturelles. Cette francophonie comporte maintenant plusieurs auteurs, et ce, dans tous les domaines littéraires, qui, comme l’a fait Marguerite-A. Primeau il y a soixante ans, s’installent dans cette province et contribuent au canon littéraire francophone qui continue à évoluer et à attirer l’intérêt de la critique. Cet article veut donc montrer le rôle influent de Marguerite-A. Primeau dans la mise en place de cette jeune littérature. En effet, des traces de son oeuvre s’y retrouvent partout. Ainsi, plusieurs romans en montrent des empreintes significatives et sont examinés ici, dont L’hiver de Mira Christophe (1986) de Pierre Nepveu, Itinérance (1999) et Nootka (2003) de Monique Genuist, et Les fossoyeurs (2010) d’André Lamontagne. De nombreuses nouvelles aussi bien que des pièces de théâtre reflètent également l’héritage de Marguerite-A. Primeau. Ce travail, un hommage à Marguerite-A. Primeau, décédée à Vancouver en octobre 2011, est en effet un aperçu du canon de la littérature franco-colombienne.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score0.829

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.005
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.260
Teacher spread0.252 · 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 designTheoretical or conceptual
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
Published2014
Admission routes3
Has abstractyes

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