Toward Free Trade in Canada: Five Things the Federal
Bibliographic record
Abstract
Canada can increase its global competitive-ness by liberalizing interprovincial trade and commerce. This report outlines five key areas for action. The sooner the country takes these steps, the sooner it will reap the many benefits. Strengthen the institutional framework of the Agreement on Internal Trade (AIT). The first focus should be on expanding the secretariat. Implement policies that facilitate greater labour mobility between provinces and har-monize apprenticeship and training programs. Taking these steps will help deploy skilled workers when and where they are needed. Create a single national system for corpo-rate registration and reporting. Such a system will facilitate greater investment by foreign and domestic enterprises in the Canadian market and eliminate costly duplication. Promote market access and regulatory co-herence in provincial energy and environmental policies to help promote sustainable growth. Encourage dairy exports and the establish-ment of a common Canadian market to enable Canada to benefit from growing global demand for dairy products.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.017 | 0.007 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".