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Record W1930246114

Designing a Global Post-Kyoto Climate Change Protocol that Advances Human Development

2008· article· en· W1930246114 on OpenAlexaboutno aff
Albert O Mumma, David R. Hodas

Bibliographic record

VenueSSRN Electronic Journal · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsKyoto ProtocolGreenhouse gasPer capitaClimate changeClean Development MechanismMontreal ProtocolDeveloping countryClimate change mitigationRenewable energyEfficient energy useSustainable developmentGlobal warmingNatural resource economicsEmissions tradingJoint ImplementationEnvironmental economicsBusinessEconomicsEconomic growthPolitical scienceEngineeringGeographyPopulation
DOInot available

Abstract

fetched live from OpenAlex

This article proposes a new formula for a post-Kyoto Protocol on climate change. The article critiques the Kyoto Protocol insofar as it allocates emissions reduction entitlements to some countries but not to others. All countries, and not just developed countries, must be allocated emissions entitlements. The article further critiques the Kyoto Protocol for imposing emission reduction obligations on only the developed countries, leaving developing countries without emission reduction and/or avoidance obligations. The article refutes the assumption underlying the Kyoto Protocol that the principle of common but differentiated responsibilities necessarily exempts developing countries on account of their historically low GHG emissions from emissions reductions and/or avoidance obligations. Our proposal assigns real, common, but equitably differentiated responsibilities to all nations of the world, and requires that all countries maximize the efficiency of their use of energy. The post-Kyoto Protocol climate change mitigation regime must 1) stipulate an absolute cap on allowable GHG emissions, which the global atmospheric system can tolerate without dangerous climate change; 2) allocate GHG emissions under that cap to all countries on the based on a combination of four factors: the Human Development Index; the efficiency of energy use; historical and present per capita emissions; and projected future per capita emissions; 3) allow all countries to use flexible mechanisms in meeting reduction commitments; and 4) provide for technology transfer and capacity building to enable poor countries to embark on a sustainable development path based on low carbon, energy efficient, and renewable energy technologies.

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)0.022
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.022
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.009
Scholarly communication0.0050.010
Open science0.0020.007
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0080.002

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.

Opus teacher head0.117
GPT teacher head0.298
Teacher spread0.181 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations9
Published2008
Admission routes1
Has abstractyes

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