Canada will struggle to diversify trade
Bibliographic record
Abstract
Significance US efforts to renegotiate NAFTA were already tense, but this round of talks comes after Canada filed a wide-ranging complaint at the WTO over US trade practices. Meanwhile, the implementation of the Canada-EU Comprehensive Economic and Trade Agreement (CETA) and the revival of an eleven-member version of the Trans-Pacific Partnership (TPP) without the United States could bring some good economic news to Canada. However, Prime Minister Justin Trudeau’s Liberals have been rebuffed in their efforts to begin free trade agreement (FTA) talks with China. Impacts Canada’s WTO case could make Trump more likely to leave NAFTA after this negotiation round. Resumed WTO tariffs in North American trade may see higher lumber, minerals, oil and other commodities prices. Bureaucratic interventions defending national interests in Canadian and EU government procurement will blunt CETA’s potential.
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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.021 | 0.007 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.037 | 0.006 |
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".