Overconfidence and Hubris: The Demise of Agricultural Co-operatives in Western Canada
Bibliographic record
Abstract
The last two decades have seen major changes to the agricultural landscape in Canada and with them major changes to the co-operative sector. The grain handling co-operatives in Western Canada have disappeared, as have their counterparts in the dairy and poultry sectors. Outside of Western Canada, and particularly in Québec, co-ops in the latter sectors have remained successful, while rural retail and farm input co-operatives continue to thrive in all parts of the country. The purpose of this paper is to trace the changes that have occurred in the rural co-operative sector in Canada over the last 10-15 years. Particular attention is paid to the large agricultural co-operatives in Western Canada, since their decline has been particularly acute. It is argued that the overconfidence and hubris of co-op management were major contributing factors to the conversion of these co-ops to IOFs.
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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 | 0.001 |
| 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 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".