an ex-post econometric analysis of the abolishment of the canadian wheat board
Bibliographic record
Abstract
This paper analyzes the impact the Canadian Wheat Board (CWB) had on facilitating grain movements and utilizing terminal capacity from 2009/10 to 2015/16 in western Canada through econometric methods. We conduct an ex-post analysis on capacity utilization for every grain delivery station in western Canada controlling for distance to port, car spots, railway companies, and production. We use a CWB dummy variable and freight rates from Quorum Corporation to estimate capacity utilization before and after CWB abolishment. We analyze whether the CWB had an impact on terminal turnover ratios. We conclude the regulatory change in abolishing the CWB significantly reduced capacity utilization and delivery performance despite record production and implementation of ad hoc policies. Current regulatory changes regarding the Minimum Revenue Entitlement (MRE) could have similar outcomes on grain handling performance. Acknowledgement :
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".