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Record W7146286023

地球温暖化対策の難しさとCOP26の成果

2022· article· ja· W7146286023 on OpenAlexaboutno aff
毅 河野

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2022
Typearticle
Languageja
FieldEnvironmental Science
TopicCOVID-19 impact on air quality
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationMontreal ProtocolConference of the partiesFellCollective actionClimate changeInternational communityConvention
DOInot available

Abstract

fetched live from OpenAlex

Climate change policy requires the collective action of the world community. Although the reduction of green-house gas (GHG) is the traightforward means to resolving the issues arising from climate change, the world community fails to collectively agree on the scientifically proven GHG reduction target. This paper explains the reasons for this failure, describes the international negotiation platform called Conference of Parties (COP) process under the United Nations Framework Convention on Climate Change (UNFCCC), reviews the outcome of the 26th COP meeting held in late 2021 in Glasgow, United Kingdom, and finally introduces the 1987 Montreal Protocol on Substances that Deplete the Ozone Layer as a successful example of the world community which acted collectively to stop the ozone depletion. Although the member states publicly argued for stronger collective action to combat climate change, COP 26, in the end, fell short of meeting the growing expectations by youths for drastic action. The outcome document “Glasgow Climate Pact” embodies compromising elements reflecting the difficulties for collective action under the UNFCCC regime.

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)0.009
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.116
Threshold uncertainty score0.389

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.014
Science and technology studies0.0040.002
Scholarly communication0.0170.012
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1160.105

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 head0.030
GPT teacher head0.298
Teacher spread0.268 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2022
Admission routes1
Has abstractyes

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