Food co‐operatives sustainably managing common pool resources as hyper‐communities as outlined by Consumer Culture Theory
Bibliographic record
Abstract
Abstract This paper presents the interview results from nine managers operating in the co‐operative food sector in Ontario, Canada. The interview results are framed within the context of Consumer Culture Theory to show how co‐operatives can be considered hyper‐communities that are built around an opposition to the current economic system's management of food as a common pool resource. The co‐operative managers interviewed present a view that co‐operatives act as drivers of sustainable innovation by allowing individuals to act as a group with a common interest in sustainable practices. The co‐operative model provides these hyper‐communities with guidance to interact with the economic system through the co‐operative principles. The co‐operative principles assist co‐operative managers in establishing member control over the common pool resource. This paper supports the growing literature on the co‐operative economy and self‐governance of common pool resources for a sustainable future.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".