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Record W2358474475

Alternative Legal Mechanism on Climate Change

2007· article· en· W2358474475 on OpenAlexaboutno aff
Yang Qian

Bibliographic record

VenueZhongguo Huanjing Guanli Ganbu Xueyuan xuebao · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Policies and Emissions
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal ProtocolKyoto ProtocolOzone layerClimate changeGovernment (linguistics)PollutantEnvironmental scienceChinaAir pollutionEnvironmental protectionPollutionClean Development MechanismBusinessEnvironmental planningNatural resource economicsOzoneMeteorologyPolitical scienceLawChemistryGeography
DOInot available

Abstract

fetched live from OpenAlex

The migration of air pollutants has created major global problems,such as climate change,ozone depletion and nuclear fallout.Kyoto Protocol was developed to protect the ozone layer.The Montreal Protocol for the substances of the Ozone Layer was held to provide for a system of controlling human activities that produce adverse effects on the ozone layer.Standards for individual pollutant discharges to the air are the means by which the government translates this responsibility to individual sources causing the pollution.Government also attempted to reduce mobile source emissions through fuel-related programs.We should design a clean-fuel vehicle program to govern the development of low-emission vehicles and zero-emission vehicles.Generally available control technology standards include consideration of the economic impact of regulation and the ability of the regulated industries to operate and maintain an effective emission reduction system.China makes every effort to improve international law.

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)0.006
metaresearch head score (Gemma)0.009
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: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0050.007
Scholarly communication0.0070.005
Open science0.0020.004
Research integrity0.0130.007
Insufficient payload (model declined to judge)0.0190.002

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 head0.023
GPT teacher head0.267
Teacher spread0.243 · 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
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
Published2007
Admission routes1
Has abstractyes

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