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Record W4240087309 · doi:10.11647/obp.0193.17

Climate Negotiation

2020· book-chapter· en· W4240087309 on OpenAlexaff
Rosemary Lyster

Bibliographic record

VenueOpen Book Publishers · 2020
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsAlberta Oil Sands Technology and Research AuthorityUniversity of British Columbia
Fundersnot available
KeywordsKyoto ProtocolClimate changeNegotiationPolitical scienceInternational communityPoliticsHappeningDevelopment economicsGeographyInternational tradeBusinessEconomicsHistoryLaw

Abstract

fetched live from OpenAlex

Regardless of the number of international studies and reports predicting crisis, nothing has stopped decline of ecosystems and natural resources. The most recent reports of the Intergovernmental Panel on Climate Change (IPCC) provide clear warnings that climate change is happening fast. Lyster charts the activity of the international community since the first Earth Day, and demonstrates why and in what respects they have failed. An important first step was the 1987 Brundtland Report, around the same time the IPCC was established to advise the UN on the Earth’s climate. This led to the 1992 UN Conference on Environment and Development, and the 1997 Kyoto Protocol, where developed countries agreed to cap overall emissions by the end of 2012. A major point of contention here was that the Protocol did not require developing countries to meet targets. The 2016 Paris Agreement, which aims to limit the increase in global average temperature, marked the first time that both developed and developing countries are compelled to act. Finally, Lyster explores how efforts to deal with the climate crisis have often been thwarted by domestic election cycles in fossil fuel-developed economies, pointing to a lack of knowledge and/or political will on the part of many politicians to lead a national discussion on the imperative to take action.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.599
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0230.017

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 head0.131
GPT teacher head0.248
Teacher spread0.117 · 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 designNot applicable
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

Citations0
Published2020
Admission routes1
Has abstractyes

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