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Record W2460855331 · doi:10.7202/1036749ar

La nouvelle franco-colombienne : synergies et tensions

2016· article· fr· W2460855331 on OpenAlexaffvenueabout
Kathleen Kellett

Bibliographic record

VenueCahiers franco-canadiens de l Ouest · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicLinguistic and Sociocultural Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsHumanitiesFrenchArtPolitical science

Abstract

fetched live from OpenAlex

Cet article offre un aperçu de la nouvelle francophone en Colombie-Britannique, en considérant quelques-uns de ses auteurs les mieux connus tels que Jean-Claude Castex, Monique Genuist, Inge Israël, Marguerite-A. Primeau et Christian Récizac. Issue du milieu minoritaire et migrant de la Colombie-Britannique francophone, la nouvelle franco-colombienne est marquée au niveau thématique par les synergies et les tensions créatrices engendrées par le va-et-vient du récit diasporal entre la terre natale et la terre d’accueil, entre la nostalgie et la mémoire nationale, entre l’espace urbain et la grande nature tant valorisée dans les mythes sociaux dominants de la Côte du Pacifique.

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)0.002
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 score0.764
Threshold uncertainty score0.469

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0130.013
Scholarly communication0.0060.003
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.013
GPT teacher head0.259
Teacher spread0.246 · 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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