Social Enterprises Models in Canada: Ontario
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The objective of this article is to examine social enterprises in Ontario, Canada, as part of the “Social Enterprises Models in Canada” research of the International Comparative Social Enterprise Models (ICSEM) Project. The report presents an analysis of the historical, contextual, and conceptual understanding of social enterprises in Ontario. Five cases studies illustrate social enterprise models, and the article then presents the main institutions in Ontario related to social enterprises, describing legal framework, public policies, university institutions, networks, spaces, and funding agencies and programs. Dans le cadre du projet Modèles d’entreprises sociales au Canada de l’International Comparative Social Enterprise Models (ICSEM), l’objectif du présent article est d’examiner les entreprises sociales en Ontario, Canada. Le rapport présente une analyse historique, contextuelle et conceptuelle pour comprendre les entreprises sociales en Ontario. Cinq études de cas illustrent les modèles d’entreprises sociales. Les principales institutions liées aux entreprises sociales en Ontario, tel que le cadre législatif, les politiques publiques, les établissements universitaires, les réseaux, les espaces, les organismes de financement et les programmes, sont décrites.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it