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Record W2550757192 · doi:10.4236/me.2016.712131

How Climate Action at Regional Level Contributes to the Objectives of the UNFCCC: The APEC Case

2016· article· en· W2550757192 on OpenAlexaboutno aff
Antonina Ivanova, Ana Bertha Cuevas Tello

Bibliographic record

VenueModern Economy · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsKyoto ProtocolUnited Nations Framework Convention on Climate ChangeDeclarationMultilateralismInternational tradeClimate changePolitical scienceChinaPolitical economy of climate changeMontreal ProtocolEconomicsEconomic growthPoliticsGeography

Abstract

fetched live from OpenAlex

When APEC (Asia-Pacific Economic Cooperation) launched the Declaration on Climate Change, Energy Security and Clean Development in 2007 (better known as the Declaration of Sydney), environmental groups, civil society, experts and academics had recently celebrated two years of entry into force of Kyoto Protocol, which despite the slowness to achieve objectives kept hopes of real results; at the same time there were concerns that the proposal of APEC (with participation of the United States and Australia) would be a boycott of the Kyoto Protocol. This paper is arguing that the climate action within APEC is an important element to reinforce the international climate action on world level under the leadership of UNFCCC (United Nations Framework Convention on Climate Change). The analysis is focusing exclusively on common commitments assumed as members of APEC as regional body and not on the particular objectives of the member economies. Although it requires global commitment to address climate change, APEC has many resources to modify the process of global climate change significantly, this because besides emitting more than 60% of greenhouse gases (GHG), among its members are economies with a high degree of economic development (required for technological innovation), nations with the highest economic growth in recent decades (essential for poverty reduction and clean technology implementation) and international leaders with global influence (political hegemony: United States and China). Moreover, it is easier to agree among 21 economies than among the 200 nations of the world; but, if desired, any country can adhere to the objectives of APEC, since one of the characteristics of this forum is the open regionalism. This combination of elements makes APEC a force for success in the action against climate change in the world.

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)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0090.012
Scholarly communication0.0120.007
Open science0.0020.009
Research integrity0.0110.010
Insufficient payload (model declined to judge)0.0080.001

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 head0.189
GPT teacher head0.258
Teacher spread0.070 · 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
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
Published2016
Admission routes1
Has abstractyes

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