RETIRING MARGINALLY PROFITABLE SECTIONS OF AGRICULTURAL FIELDS IN ONTARIO ECONOMICALLY JUSTIFIED: CASE STUDIES OF TYPICAL FIELDS IN ONTARIO, FINAL REPORT
Bibliographic record
Abstract
The dairy industry in Canada was turned on its ear by the release of the WTO decision last fall that Canada's Special Milk Classes constitute an export subsidy. Dairy processors fear the loss of established export markets. At the same time, the decision threatens the role of supply management authorities as the sole marketers of farmers' milk. Will farmers market milk for export directly to processors? What consequences could renewed marketing board involvement in exports have in the international trade arena? The industry is preparing for conflict as it reorients itself in the international market. That conflict is embedded in proposals made by some of the milk marketing agencies and by some processor members of the National Dairy Council (NDCC). Because of the immediate importance of this case and the issues it spawns, the George Morris Centre is releasing this special report. It addresses the following topics: * The nature of the challenges to the Special Milk Classes scheme * The WTO decision * Implications for the dairy industry * Marketing board's proposal for export pricing reform * NDCC proposal for export pricing reform * Evaluation of the alternatives
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".