The 'New Orthodoxy': NAFTA Chapter Eleven and the Implications for the FTAA
Bibliographic record
Abstract
Book Summary: This book includes Canadian, U.S., and international perspectives. Rather than addressing continental convergence and divergence from a single academic point of view, these sixty-one papers contain a variety of interdisciplinary perspectives. Contributors’ conceptual re-assessments and scholarly debates reveal how Canada and the U.S. can take various paths to improve their societies, hold dissimilar ideas about policy, and interrelate unilaterally or multilaterally. Here, international Canadianists emphasize that an examination of convergence and divergence needs to advance, for example, a conceptual complexity beyond national comparison (e.g., multiformity in borderlands, the Arctic North), an assessment of free trade relations, an examination of emergent cross-border asymmetries (e.g., in cultural identities, environmental regulations), a review of crossborder (in)securities, an understanding of Aboriginal concerns (e.g., repatriation, self-government), an examination of recent societal developments (e.g., in immigration, social policy, youth participation, union membership), and a recognition of Canadian uniqueness.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 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".