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Record W2339428610 · doi:10.1057/9780230374973_10

Political Strategy and Climate Policy in Rapidly Industrializing Countries

2012· book-chapter· en· W2339428610 on OpenAlexaboutno aff
Ian Bailey, Hugh Compston

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2012
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsUnited Nations Framework Convention on Climate ChangeClimate changePoliticsGreenhouse gasDeveloping countryPolitical scienceFellConventionDevelopment economicsInternational tradeDeveloped countryKyoto ProtocolGeographyEconomic growthBusinessEconomicsSociology

Abstract

fetched live from OpenAlex

International climate politics has undergone a profound shift since delegates at the 1988 World Meteorological Organization Conference in Toronto first called on governments and the United Nations: ‘to take specific actions to reduce the impending crisis caused by the pollution of the atmosphere’ (Willman 2009: 145). Back then, attention fell predominantly on the need for the developed nations of the northern hemisphere to reduce greenhouse gas emissions. Although tensions over whether major developing countries should also adopt emissions targets had already surfaced by the time the United Nations Framework Convention on Climate Change (UNFCCC) was negotiated in 1992, it is now more apparent than ever that the actions of industrializing countries will be critical to future efforts to mitigate abrupt climate change.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.005
Scholarly communication0.0060.002
Open science0.0000.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.091
GPT teacher head0.268
Teacher spread0.177 · 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 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

Citations1
Published2012
Admission routes1
Has abstractyes

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