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Record W1991184980 · doi:10.7202/001256ar

Nationalismes et nationalisation du champ scientifique québécois

2002· article· fr· W1991184980 on OpenAlexvenueaboutno aff
Marcel Fournier, Louis Maheu

Bibliographic record

VenueSociologie et sociétés · 2002
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesFrenchPhilosophy

Abstract

fetched live from OpenAlex

Tout comme le progrès des sciences sociales, celui des sciences apparaît étroitement dépendant de la transformation de la structure sociale québécoise, transformation qui exige et provoque l'explosion du système universitaire québécois francophone, la réorganisation de l'État provincial et la restructuration des rapports entre les champs scientifique, religieux, politique et économique : l'acquisition pour l'activité scientifique d'une plus grande centralité au sein de la siociété québécoise est en effet liée non tant aux efforts répétés du Gouvernement fédéral qu'à ces diverses mutations structurelles. Et ce n'est qu'à ce moment que gagnent en complexité les stratégies des chercheurs et des scientifiques des universités québécoises francophone!" pour promouvoir la science, obtenir des ressources plus importantes et accéder à des positions supérieures.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.648

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0130.008
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.000

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 head0.286
GPT teacher head0.419
Teacher spread0.133 · 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.

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

Citations13
Published2002
Admission routes2
Has abstractyes

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