Bibliographic record
Abstract
Abstract This paper discusses the role that trade can potentially play in both negotiating and operating a post‐Kyoto/post‐2012 global climate policy regime. As an addition to the bargaining set for a global climate negotiation, trade in principle widens the range of jointly beneficial potential outcomes and can in this sense be a potential facilitator of an agreed global climate regime. The reverse is also true that in a linked climate–trade–finance global policy coordination structure that goes well beyond what was envisioned at Bretton Woods, climate now added to the global policy bargaining set also offers the prospect of potentially stronger trade disciplines (and even beyond WTO disciplines being negotiated). Trade policy can as well be an instrument for the implementation of a global climate regime, since trade provides a mechanism for achieving an internalisation outcome for the global externality that climate change represents and that provides a potentially more efficient outcome and also helps meet distributional objectives. In short, trade added to the emerging post‐2012 climate regime can both expand the bargaining set for both (effectively linked) negotiations and additionally provide an instrument for the implementation of an agreed outcome.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| 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".