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Record W2371468679

The Equality and Effectiveness of Global Public Resources Allocation -- The Kyoto Protocol Trading away Global Warming

2005· article· en· W2371468679 on OpenAlexaboutno aff
Wang Me

Bibliographic record

VenueLand & Resources · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsKyoto ProtocolGreenhouse gasGlobal warmingNatural resource economicsEmissions tradingSustainable developmentAllowance (engineering)Clean Development MechanismChinaBusinessClimate changeGlobal public goodEconomicsMontreal ProtocolEnvironmental economicsEnvironmental resource managementPublic goodEcologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Atmosphere is a kind of global public resources. As climate change is a global issue, every country is responsible for its abatement. Although many nations have common interests, inequalities exist in terms of social, economic and environmental considerations. The equability of the Kyoto Protocol involve structural differences and emission accountability. Enhanced global warming is the result of decades of increased greenhouse gases emissions from developed countries, so reducing emissions is primarily their responsibility. In the Kyoto Protocol, trading allows nations who can reduce emissions at low costs to reduce their emissions below their allowable emissions and sell their surplus international emission allowance to other countries, thus reducing the overall cost of compliance but achieving the same end. Although China, the second largest greenhouse emission country, has not been claimed for reducing the greenhouse emission by the Kyoto Protocol, it provides China a huge amount of chances to adjust the structure of energy, to improve the current deteriorated ecological environment, and to carry out the sustainable development strategy through CDM projects by introducing the fund and technology from advanced countries.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.422

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.067
GPT teacher head0.295
Teacher spread0.228 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2005
Admission routes1
Has abstractyes

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