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Record W2084699823 · doi:10.7202/044101ar

L’économie sociale au Québec à travers les crises structurelles et les grandes transformations (1850-2008)

2010· article· fr· W2084699823 on OpenAlexaffvenueabout
Benoît Lévesque, Martin Petitclerc

Bibliographic record

VenueÉconomie et solidarités · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Nous proposons, ici, une périodisation du développement de l’économie sociale québécoise en relation avec les « grandes crises » économiques et politiques depuis les années 1850. Nous avons ainsi identifié cinq grandes configurations de l’économie sociale québécoise, qui regroupent les diverses composantes de cette dernière à chaque époque (coopératives, mutuelles, fonds de travailleurs, associations ayant des activités économiques, etc.). Cette analyse des configurations montre comment les initiatives d’économie sociale répondent aux urgences provoquées par les « destructions créatrices » apportées par les crises et mettent en avant des « innovations créatrices » selon les aspirations pour un monde meilleur. À la lumière de cette analyse sociohistorique, nous croyons qu’une nouvelle vague d’innovations au sein de l’économie sociale émergera de la crise économique récente. Une appréciation réaliste des expériences passées nous invite toutefois à la prudence quant à leur portée.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.537

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.004
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.043
GPT teacher head0.319
Teacher spread0.275 · 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 designObservational
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

Citations21
Published2010
Admission routes3
Has abstractyes

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