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Record W7067134609

Les « vieilles » nouvelles classes moyennes à l'épreuve du cosmopolitisme ou quand le Québec devient une société normale...

2011· other· fr· W7067134609 on OpenAlexaboutno aff

Bibliographic record

VenueEspaceINRS (National Institute for Scientific Research (Canada)) · 2011
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Identity (music)Reflection (computer programming)
DOInot available

Abstract

fetched live from OpenAlex

Comment définir les couches moyennes aujourd’hui et quel est leur rapport à la ville, tel était le thème d’un séminaire international organisé à Paris en 2009. Le texte de cet Inédit est la conférence donnée à l’invitation de Marie-Hélène Bacqué et Stéphanie Vermeersh du CNRS sur un bilan de la réflexion québécoise sur le sujet. Le texte comprend trois parties. La première retrace l’émergence historique des nouvelles classes moyennes au Québec, notamment dans le contexte de la Révolution tranquille, dans la littérature sociologique. La seconde plante le décor de leur évolution récente, dont la thèse de la « normalisation » du Québec. La troisième introduit une dimension culturelle, encore peu abordée dans la littérature internationale récente sur le destin des couches moyennes. Au total, on y montre la juxtaposition de couches moyennes ayant des ancrages historiques distincts mais ayant toutes parties liées au développement de la ville. Une bibliographie a été ajoutée au texte original.

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: Other · Consensus signal: Other
Teacher disagreement score0.101
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.009
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0310.002

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 head0.104
GPT teacher head0.337
Teacher spread0.234 · 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
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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Same venueEspaceINRS (National Institute for Scientific Research (Canada))French-language works237,207