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Record W1996845819 · doi:10.7202/045427ar

Philippe Garigue et le Canada français

2011· article· fr· W1996845819 on OpenAlexaffvenueabout
Linda Cardinal, Martin Normand

Bibliographic record

VenueRecherches sociographiques · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyArtEthnologySociology

Abstract

fetched live from OpenAlex

L’article porte sur la contribution de Philippe Garigue à l’étude du Canada français et veut redonner à ce penseur négligé en sciences sociales la place qui lui revient dans l’héritage intellectuel du Québec. Après avoir présenté la carrière du chercheur et ses principaux travaux sur le Canada français, l’article s’attarde à ses critiques méthodologiques et théoriques pour mieux faire apparaître les aspects plus novateurs de sa pensée. Il resitue la démarche de Garigue dans les débats épistémologiques et historiographiques sur la représentation du Canada français d’avant les années 1960 et propose une perspective critique de l’ensemble de son oeuvre au regard des analyses plus récentes. Au-delà du caractère polémique maintes fois attesté de ses travaux, l’article soutient que Garigue procède à une remise en question inédite, pour l’époque, de la représentation du Canada français d’avant les années 1960 comme une société d’Ancien Régime rurale et cause des difficultés des Canadiens français à s’émanciper. Par contre, d’autres aspects de son oeuvre ont moins bien vieilli, dont ses réflexions sur le nationalisme.

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)0.005
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 score0.070
Threshold uncertainty score0.507

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0150.009
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.112
GPT teacher head0.290
Teacher spread0.177 · 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

Citations2
Published2011
Admission routes3
Has abstractyes

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