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Record W2810953936 · doi:10.22230/cjnser.2018v9n1a237

Explaining Quebec's Social Economy Turn

2018· article· en· W2810953936 on OpenAlexaffvenueabout
Gabriel Arsenault

Bibliographic record

VenueCanadian journal of nonprofit and social economy research · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsHumanitiesPolitical scienceWelfare economicsSociologyEconomyEconomicsPhilosophy

Abstract

fetched live from OpenAlex

Québec has been structuring and promoting a social economy sector since the mid-1990s. What explains this specificity of the Québec social model? Careful process tracing analysis reveals that the mobilization of Québec’s left in the mid-1990s, followed by coalition engineering during the 1996 economy and employment summit, account for Québec’s distinct trajectory. Consistent with power resource theory (PRT), at the agenda-setting stage, protagonists of Québec’s social economy policies were associated with the left. Contrary to what is assumed by PRT, however, at the decision stage, the right’s consent to social economy policies was not conditioned by a weak bargaining position or by a fear of antagonizing voters.RÉSUMÉLe Québec appuie et structure un secteur de l’économie sociale depuis le milieu des années 1990. Comment expliquer cette spécificité du modèle social québécois? Une analyse attentive du retraçage des processus révèle que la mobilisation de la gauche québécoise au milieu des années 1990, suivie d’une coalition autour de l’économie sociale formée au moment du Sommet sur l’économie et l’emploi en 1996, expliquent la trajectoire distincte du Québec. De façon cohérente avec la théorie des ressources de pouvoir (PRT), à l’étape de la mise à l’agenda, les protagonistes des politiques visant à appuyer l’économie sociale au Québec étaient associés à la gauche. Contrairement à ce qui est supposé par la PRT, cependant, à l’étape de la prise de décision, l’appui de la droite à ces politiques ne reposait pas nsur un faible rapport de force ou sur une crainte de s’aliéner les électeurs.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.893
Threshold uncertainty score0.778

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.005
Scholarly communication0.0050.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.000

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 head0.125
GPT teacher head0.394
Teacher spread0.269 · 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 designQualitative
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

Citations6
Published2018
Admission routes3
Has abstractyes

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