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Record W2955034366 · doi:10.3828/qs.2019.5

Un mentorat américain: la correspondance entre Louis Dantin et Rosaire Dion-Lévesque

2019· article· fr· W2955034366 on OpenAlexaffabout
Stéphanie Bernier

Bibliographic record

VenueQuebec Studies · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsMcGill University
Fundersnot available
KeywordsHumanitiesArtArt historyPhilosophy

Abstract

fetched live from OpenAlex

Pendant la période de l’entre-deux-guerres, le critique Louis Dantin a joué le rôle de mentor pour plusieurs écrivains canadiens-français appartenant à la jeune génération (appelée les Individualistes de 1925). De ce nombre se trouve l’auteur franco-américain Rosaire Dion-Lévesque (pseudonyme de Léo Lévesque, 1900–1974), qui, de Nashua (New Hampshire), a pris part à la vie littéraire canadienne du temps. De 1928 à 1944, Dantin et Dion ont échangé plus de 230 lettres, une correspondance qui révèle les différentes phases de formation du poète ainsi que l’amitié que se portent mutuellement les épistoliers. Comment s’est déployée la relation mentorale dans la correspondance et quel est l’impact du contexte géographique et culturel américain sur le mentorat? Cette analyse conduira à aborder la question des transferts sous deux angles complémentaires: le transfert de savoir au sein du mentorat et les transferts culturels entre le Canada et les États-Unis.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.482

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0220.011
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.003
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 head0.014
GPT teacher head0.271
Teacher spread0.257 · 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 designQualitative
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
Published2019
Admission routes2
Has abstractyes

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Same venueQuebec StudiesSame topicCanadian Identity and HistoryFrench-language works237,207