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Record W4399178559 · doi:10.4000/11qwd

La démocratisation de la finance au Québec : approches concurrentes, histoire contestée

2024· article· fr· W4399178559 on OpenAlexaffvenueabout
Christian Pépin, Mathieu Dufour, Simon Tremblay-Pépin

Bibliographic record

VenueInterventions économiques · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsÉlisabeth Bruyère HospitalSaint Paul UniversityUniversité du Québec en OutaouaisYork University
Fundersnot available
KeywordsPolitical scienceCONTESTHumanitiesArt

Abstract

fetched live from OpenAlex

À partir d’une typologie de trois conceptions de la démocratisation de la finance (rupture, symbiotique et interstitielle), cet article réinterprète les conflits ayant façonné l’histoire des institutions financières publiques et coopératives (IFPC) québécoises de 1960 à aujourd’hui. Pour chaque période, nous évaluons des projets de réformes et des institutions qui ont visé, soit, à socialiser la finance, à complémenter le secteur financier privé afin de l’améliorer de l’intérieur, ou à créer des espaces financiers qui échappent à la maximisation des profits. Méconnues, les luttes et revendications syndicales en faveur de la socialisation de la finance au Québec font ressortir les limites actuelles des IFPC associées notamment à la « finance solidaire et responsable ». Ce pan des conflits sociaux entourant la finance au Québec offre également des ressources afin de réimaginer la démocratisation de la finance en contexte québécois.

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)0.003
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: none
Teacher disagreement score0.093
Threshold uncertainty score0.619

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0060.016
Scholarly communication0.0080.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.045
GPT teacher head0.354
Teacher spread0.309 · 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

Citations2
Published2024
Admission routes3
Has abstractyes

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