Multiple entrepreneurial ecosystems? Worker cooperative development in Toronto and Montréal
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 emergence in practice of worker cooperative ecosystems, which draws on the entrepreneurial ecosystems (EEs) concept, has been largely ignored in academic research. Contrasting worker cooperative development efforts in Toronto with Montréal, we affirm there are multiple and multiscalar EEs in each region, including both a dominant capitalist and a worker cooperative EE. Productive enterprises like worker cooperatives, operating with a different logic than investor-owned firms, not only construct their own EE, but the relational connectedness of the worker cooperative EE to other EEs also plays a role in outcomes. Worker cooperatives have been less successful in navigating these dynamics in Toronto than in Montréal. Future research might seek to more fully specify the relational and multiscalar configuration of regions’ multiple EEs.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it