GOVERNANCE OF NINE ONTARIO FOOD CO-OPERATIVES
Bibliographic record
Abstract
Questions on the use of current theories of governance for co-operative businesses are prevalent within the literature. This paper seeks to determine if the theory of cyclical board behavior can provide insight into the evolution of co-operative boards within food co-operatives in Ontario, Canada. To answer these questions managers from food co-operatives participated in a one-hour long, semi-structured interview providing their understanding of the governance within their co-operatives. Managers identified board member engagement, the changing role of the board and succession planning as issues of concern. Engagement level of board members varied from a lack of participation to overbearing participation, which caused tensions within the co-operative. Current governance theories do not appear to adequately explain governance within a co-operative structure. A single, universal governance framework does not address the complexities of a member owned firm. The cyclical board behavior, however, does provide insight into co-operative board evolution.
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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 | 0.000 | 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 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".