THE BSE CRISIS IN CANADA: A TRADE PERSPECTIVE ON SANITARY BARRIERS
Bibliographic record
Abstract
The discovery of BSE in Canada's cattle herd on May 20, 2003 has led to lost market access for Canadian cattle and beef in many countries. The Canadian cattle industry is extremely export dependent, and the loss of almost all of major export markets has had a devastating impact. Over a year later, many of these markets have still not removed their restrictions on Canadian cattle and beef. The severity of the restrictions and their long-term continuance are far in excess of what is recommended by the international organisations that set the standards for trade in animals and animal products. This has led many in the Canadian industry to wonder why these sanitary barriers are being misused and abused. The illegitimate and legitimate reasons for creating a sanitary barrier are examined, along with the potential for abuse of trade barriers which may have been imposed for legitimate reasons. Some suggestions for what the Canadian industry should have done and what they should do now are also offered.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.026 | 0.014 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".