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Record W6983020943

Le financement de l'économie sociale, à la croisée des intérêts privés et publics : Le Réseau d'investissement du Québec

2008· other· fr· W6983020943 on OpenAlexaboutno aff

Bibliographic record

VenueÉrudit documents and data repository (Érudit Consortium, University of Montreal) · 2008
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGestational periodHyporeflexiaDemotionTSG101Fusible alloy
DOInot available

Abstract

fetched live from OpenAlex

Le financement de l'économie sociale (ÉS) dépend traditionnellement de deux sources. La première provient de la souscription des membres, de la vente des produits ou services, des revenus de placement, etc. La seconde source provient des collectivités publiques et de donateurs, sous forme de subventions, de marchés protégés, de dons, etc. Or, une nouvelle source de financement s'offre à l'économie sociale, celle qui provient des entreprises capitalistes. Cette contribution s'inscrit dans les pratiques de responsabilisation sociale des entreprises et est canalisée par une organisation intermédiaire entre les entreprises capitalistes et celles de l'économie sociale. La rencontre de ces deux univers se fait par le truchement d'un nouvel acteur, le Réseau d'investissement social du Québec (RISQ). Nous verrons ici que ce type d'organisation permet d'opérer le passage entre ce qui relève du pouvoir discrétionnaire dans l'entreprise et ce qui émane de la volonté collective des acteurs de l'ÉS.

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 score0.044
Threshold uncertainty score0.317

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 studies0.0040.003
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.000

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 head0.014
GPT teacher head0.217
Teacher spread0.203 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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