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Record W2502321307 · doi:10.1057/9781137120809_4

Governing Climate Change Policy: From Scientific Obscurity to Foreign Policy Prominence

2000· book-chapter· en· W2502321307 on OpenAlexaboutno aff
Jacob Park

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2000
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceClimate changeGreenhouse gasState (computer science)Public administrationGovernment (linguistics)Global warmingForeign policyAtmosphere (unit)Prime ministerPolitical economyLawGeographySociologyMeteorologyPolitics

Abstract

fetched live from OpenAlex

For many years, climate change was a technical issue that only concerned a small number of scientists and policymakers.1 At the 1988 Toronto Conference on the Changing Atmosphere (arguably the first important policy-oriented global climate change forum), the prime ministers of Canada and Norway proposed a global “law of the air” and called for the 20 percent reduction in global emissions of carbon dioxide by the year 2005. Even at that late date, the United States dismissed the importance of this conference by sending only a mid-level government representative. While the United States did not think that the Toronto meeting warranted a higher diplomatic presence, the delegations of some countries were headed by their respective prime ministers or presidents. When the concluding resolution of the Toronto meeting called for a fundamental reassessment of global priorities and responsibilities, William Nitze, then the Deputy Assistant Secretary of State for Environment, Health, and Natural Resources, argued that it “would be premature at the current moment to contemplate an international agreement that sets targets for greenhouse gases.”2

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.942
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.009

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 head0.086
GPT teacher head0.257
Teacher spread0.172 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations1
Published2000
Admission routes1
Has abstractyes

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