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Record W2046019670 · doi:10.3406/pumus.2007.1430

Politiques culturelles et patrimoines au Québec et au Canada

2007· article· fr· W2046019670 on OpenAlexaboutno aff
Diane Saint‐Pierre

Bibliographic record

VenueCulture & Musées · 2007
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Le Québec et le Canada présentent une diversité géographique, climatique, économique et démographique, mais également une variété de leurs patrimoines qui rend compte de leur histoire, de leur culture, mais aussi de la construction et de l’affirmation d’une identité respective, laquelle s’est traduite depuis la fin du XIXe siècle dans (et par) des politiques culturelles et patrimoniales. Souvent imprégnées de valeurs symboliques identitaires propres aux deux grandes communautés linguistiques et s’appuyant sur l’affirmation et la reconnaissance des sociétés québécoise et canadienne, ces politiques sont liées à l’histoire sociodémographique et politico-économique du pays. L’objectif central du présent article est de rendre compte de ces constructions identitaires à travers les politiques culturelles et patrimoniales, tout en faisant état de leur complémentarité et distinction. Il vise à faire un rappel historique des principales interventions gouvernementales québécoises et canadiennes (essentiellement de niveau fédéral) dans le domaine du patrimoine et, ce faisant, de souligner comment ces interventions sont venues renforcer les identités québécoise et canadienne au fil du temps.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.902
Threshold uncertainty score0.710

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0110.005
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.000

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 head0.030
GPT teacher head0.272
Teacher spread0.242 · 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

Citations3
Published2007
Admission routes1
Has abstractyes

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