AN EQUITY AND SUSTAINABILITY-BASED ASSESSMENT OF THE KYOTO PROTOCOL
Bibliographic record
Abstract
Abstract To date, climate change policy has largely focused on the problem of designingmarket-based tools to encourag e efficient adjustments in the carbon intensity of the globaleconomy. However, participation of developing countries in future stages of the treatyprocess are likely to hinge on demonstrable equity and sustainability commitments. Amethod of evaluating the equity and sustainability implications of current climate changepolicy is offered in the paper, as well as an alternative policy scenario that is believed tobetter satisfy these criteria of global social and environmental performance. 1. Introduction The Conference of the Parties 1 (COP) process has promoted market-based policyinstruments as the primary means to facilitate cooperation in the reduction of greenhousegas (GHG) emissions and is now focused on establishing rules for the emerginginternational emissions market. Major operational uncertainties of the Kyoto Protocol 2 emissions targets and flexibility mechanisms were largely resolved with the COP-7Marrakech Accord (COP-7). The COP process may rightly claim success in realizing a treaty of targets andcommitments to lower the release of one of the most ubiquitous chemicals associated withhuman activity. But it is not clear if activity under the auspices of the treaty will in factreduce emissions. Further, there is a reasonable basis for concern that the treaty may shiftthe burden of action for greenhouse gas (GHG) reductions to countries with little or noresponsibility for the problem. The absence of a penalty for withdrawal by the world’slargest GHG emitter – the U.S. – likewise raises doubt about the efficacy of the treaty.Below we offer an assessment of the possibl e sustainability and equity implicationsof the treaty under certain assumptions (also described below). While he UNFCCCcontains language pledging an interest in equity and sustainability, these criteria are notgiven operational definition in the framework. This is not surprising since the researchcommunity has found it difficult to realize consensus on both criteria. Our strategy is toadopt a per capita entitlements approach to the question of equity (while also recognizingthe need for “common but differential responsibilities”) and to utilize an IPCC-basedestimate of mitigation action necessary to achieve relative climate stability. Ourmethodology leads us to conclude that the Kyot o Protocol-Marrakech Accord is unlikely toimprove climate equity or sustainability. However, we also find that there are specific
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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 | 0.033 | 0.041 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".