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Record W4298156269 · doi:10.46692/9781847428141.008

Short-lived greenhouse gases and climate fairness

2011· other· en· W4298156269 on OpenAlexaboutno aff
Frances C. Moore, Michael C. MacCracken

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsGreenhouse gasEnvironmental scienceEcologyBiology

Abstract

fetched live from OpenAlex

The United Nations Framework Convention on Climate Change (UNFCCC), signed at the Rio Earth Summit in 1992, set as its objective the stabilisation of greenhouse gas (GHG) concentrations at a level that would avoid ‘dangerous anthropogenic interference with the climate’ (Article 2). Although ‘dangerous’ is perhaps deliberately subjective terminology, a limit of no more than 2ºC above pre-industrial temperatures has been widely discussed and has been adopted as a target by the European Union, the Group of 20 (G20), and signatories to the December 2009 Copenhagen Accord. In order to have a reasonable chance of meeting this target, total global emissions need to peak and begin declining no later than about 2020 (Meinshausen, 2006). Despite the urgency of the climate change problem, the current international regime has been relatively ineffective. The Kyoto Protocol that came into force in 2004 imposed emissions limits on relatively few nations and set a goal of only 5% emissions reductions below 1990 levels in the 2008-2012 compliance period. In addition to the United States (US) not being a signatory, a number of the participating nations, including Canada, Japan and New Zealand, and are unlikely to meet even the limited commitments they have undertaken through the Kyoto Protocol (Barrett, 2008). Efforts to reach agreement on global climate action following the Kyoto first commitment period are currently stalled, with the long-awaited Copenhagen negotiations at the end of 2009 producing only the aspirational and non-binding Copenhagen Accord (see Chapter One). A key element of the post-Kyoto climate negotiations has revolved around how to engage major industrialising countries in mitigation activities. Emissions from developing countries currently account for only about 25% of global radiative forcing, but this will grow to over 70% by 2100 if emissions controls are not implemented (Moore and MacCracken, 2009). Developing countries have nevertheless refused to accept caps on emissions, pointing to the substantially larger per capita emissions in the developed North as well as the historical association between use of fossil fuels and economic development (for example, Singh, 2008). On the other hand, developed nations have pointed to the rapid growth in emissions from industrialising countries as a reason why a future climate agreement should have full participation from all major emitters (for example, Connaughton, 2007).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.013
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.018
Scholarly communication0.0070.007
Open science0.0020.008
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0130.001

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.

Opus teacher head0.152
GPT teacher head0.256
Teacher spread0.104 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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