Bringing the Copenhagen Global Climate Change Negotiations to Conclusion
Bibliographic record
Abstract
In this article we discuss the global negotiations now underway and aimed at achieving new climate change mitigation and other arrangements after 2012 (the end of the Kyoto commitment period). These were initiated in Bali in December 2007 and are scheduled to conclude by the end of 2009 in Copenhagen. As such, this negotiation is effectively the second round in ongoing global negotiations on climate change and further rounds will almost certainly follow. We highlight both the vast scope and vagueness of the negotiating mandate, the many outstanding major issues to be accommodated between negotiating parties, the lack of a mechanism to force collective decision making in the negotiation, and their short time frame. The likely lack of compliance with prior Kyoto commitments by several OECD countries (some to a major degree), the effective absence in Kyoto of compliance/enforcement mechanisms, and growing linkage to non-climate change areas (principally trade) all further complicate the task of bringing the negotiation to conclusion. The major clearage we see that needs to be bridged in the negotiations is between OECD countries on the one hand, and lower wage, large population, rapidly growing countries (China, India, Russia, Brazil) on the other. (JEL codes: F33, F51, F53, Q54, Q56, P28)
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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 | 0.011 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.015 | 0.011 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".