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Record W7104450510 · doi:10.71781/9062

Of wine and roses : le Québec anglophone et la France (v. 1920 – v. 1990)

2022· dissertation· fr· W7104450510 on OpenAlexaboutno aff

Bibliographic record

VenuePapyrus : Institutional Repository (Université de Montréal) · 2022
Typedissertation
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsFrenchContext (archaeology)SloganFaith

Abstract

fetched live from OpenAlex

Ce travail de thèse s’attache à caractériser les relations nouées entre les minorités anglophones du Québec et la France, de la fin de la Première Guerre mondiale à la fin de la Guerre froide. Depuis les années 1960, l’historiographie a mis l’accent sur l’importance du fait français dans la construction des liens franco-québécois. Un tel récit, développé dans la foulée de la Révolution tranquille, passe sous silence l’existence de nombreux liens noués entre élites anglo-québécoises et élites françaises. Du côté français, des échanges avec les milieux d’affaires anglophones sont encouragés au nom de l’intensification du commerce franco-canadien. Du côté anglo-québécois, la France incarne un modèle civilisationnel dont la connaissance est partie intégrante d’une culture légitime, nettement distinguée de la culture canadienne-française, reléguée au rang de folklore. À partir de l’étude de trajectoires individuelles comme de réseaux d’influence, cette thèse entend nuancer l’historiographie francophone en mettant à jour les liens de la diplomatie officielle comme ceux de la diplomatie parallèle qui unissent la France au Québec anglais. Elle entend également illustrer, à partir d’un cas d’étude concret, sur quels principes et par quelles modalités se fonde l’influence française dans l’espace atlantique, au XXe siècle.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.318

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.003
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.001

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 head0.003
GPT teacher head0.172
Teacher spread0.169 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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