Flexibility Mechanisms in the Kyoto Protocol: Constitutive Elements and Challenges Ahead
Bibliographic record
Abstract
Climate change has become in the past decades one of the major global problems that humanity must face. In order to try to stop it, and eventually reverse it, the international community has adopted the United Nations Framework Convention on Climate Change (1992) and the Kyoto Protocol (1997, not yet in force). The Protocol sets quantified commitments for developed countries concerning the reduction of emissions of greenhouse gases, but also the possibility to comply with such commitments in a flexible manner, through three instruments: joint implementation, the clean development mechanism and emissions trading. The inclusion of additional instruments addressed to facilitate the curbing of emissions at a low cost, the so-called flexibility mechanisms, was a key element that allowed the final agreement to be reached. The paper describes briefly the main developments of the climate change regime and of each of these mechanisms. It then outlines their common constitutive elements, while underlining the aspects that remain unsolved, especially relating to their supplemental character to domestic action and the fact that any project approved under the JI or the CDM must provide a reduction in emissions that is additional to any that would otherwise occur. Throughout the examination of both the elements and challenges of the three mechanisms, the position and inputs coming from the European Union and its Member States within the climate change regime are also analysed.
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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 | 0.027 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.011 | 0.021 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.008 | 0.013 |
| Insufficient payload (model declined to judge) | 0.005 | 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".