Changing the game: The role of social enterprise for rural community revitalization
Bibliographic record
Abstract
Social enterprise and the social economy have existed for generations but are recently gaining increased attention among policy-makers. Rural communities have many challenges which could greatly benefit from social enterprise but are often not specifically included in dialogues and policies. This paper explores the challenges and supports specific to rural social enterprise development with a focus on Ontario. Drawing from the literature on enabling environments for social enterprise as well as my own conversations with social entrepreneurs in southern and northern Ontario, I use the Fusion Youth Activity & Technology Centre in Ingersoll, Ontario to illustrate the application of social enterprise concepts within a rural context. The rural social enterprise environmental factors I focus on are supportive policies, community buy-in and awareness of sector, funding, organizational capacities, and supportive infrastructure. An analysis of Fusion's social enterprises is presented along with recommendations for all levels of government, business, and community for creating supportive systems for rural social enterprise to thrive.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".