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Record W2592700989 · doi:10.24043/isj.331

Reflections on small island states and the international climate change negotiations (COP21, Paris, 2015)

2015· article· en· W2592700989 on OpenAlexvenueno aff
Darren Hoad

Bibliographic record

VenueIsland Studies Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationUnited Nations Framework Convention on Climate ChangeSmall Island Developing StatesConference of the partiesConventionClimate changePolitical scienceOrder (exchange)Kyoto ProtocolGlobal warmingPolitical economyInternational tradeEconomicsLaw

Abstract

fetched live from OpenAlex

The latest and most significant round of multilateral climate negotiations (COP21) takes place in Paris (30/11 to 11/12/2015). Like other participants and signatories to the United Nations Framework Convention on Climate Change, small island states have submitted contributions (INDCs) towards reducing emissions as a precursor to the creation of a post-Kyoto global emissions framework. This reflection outlines their contributions and examines the underlying dynamics of small island INDCs as they attempt to engage with the process of international negotiation. Preliminary findings confirm the need for small island states to be supported financially and technically by global institutional mechanisms in order to develop the capacity to deal with 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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.786
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.149
GPT teacher head0.404
Teacher spread0.255 · 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 teacher head, not a consensus.

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

Citations21
Published2015
Admission routes1
Has abstractyes

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