Evaluating the TRQ Import Licensing Mechanisms in the Canadian Chicken Industry
Bibliographic record
Abstract
Tariff rate quotas (TRQs) were introduced at the end of the Uruguay Round to support market access following the tariffication of nontariff barriers to trade in agriculture. The allocation of import licenses under the TRQ regime in the Canadian chicken industry is currently made according to discretionary criteria. The welfare properties of this import licensing scheme are evaluated in comparison with a less discretionary allocation method such as first‐come, first‐served (FCFS) using a numerical model. The analysis also provides a welfare evaluation of both methods as the current minimum access commitment for chicken imports is expanded. It is found that total welfare in the Canadian chicken industry is likely to be higher under a TRQ administration method based on nondiscretionary criteria such as firstcome, first‐served. However, particular assumptions about the chicken producers’response to increased foreign competition can reverse this finding. Moreover the welfare differences between the two license administration schemes are less important when market access to imports is substantial.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".