MétaCan
Menu
Back to cohort
Record W1791351619 · doi:10.7202/001102ar

Modalités d’appartenance aux francophonies minoritaires

2002· article· fr· W1791351619 on OpenAlexvenueaboutno aff
Raymond Breton

Bibliographic record

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

Abstract

fetched live from OpenAlex

II y a plusieurs collectivités francophones minoritaires au Canada : locales, provinciales, régionales et nationale. Elles diffèrent quant à leur situation interne, la composition de leur population et le contexte démographique, socio-économique, légal et politique dans lequel elles se trouvent. Face à cette diversification, l'un des défis pour l'analyse sociologique est de conceptualiser et éventuellement d'analyser empiriquement les modalités d'appartenance et d'identification à la collectivité, c'est-à-dire les variations dans la nature et l'intensité de la relation que les individus établissent au sein des collectivités dont ils sont géographiquement membres. Cet essai propose un cadre basé sur trois axes ou dimensions, chacun constituant un spectre allant du plus ou moins positif au plus ou moins négatif : l'axe pragmatique ou utilitaire qui définit la collectivité comme espace d'action économique, politique ou sociale ; celui de l'interdépendance sociale qui fait que le sort économique et politique de même que le statut social des individus dépendent du sort et du statut de la collectivité ; et celui de l'héritage culturel commun qui fait que les individus se reconnaissent les uns les autres comme ayant certaines caractéristiques distinctives. Certains types de relations individu-collectivité sont identifiées pour chacune de ces trois dimensions.

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)0.003
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 score0.115
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.313
GPT teacher head0.433
Teacher spread0.120 · 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

Citations62
Published2002
Admission routes2
Has abstractyes

Explore more

Same venueSociologie et sociétésSame topicCanadian Identity and HistoryFrench-language works237,207