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Great Expectations: Understanding Bali and the Climate Change Negotiations Process

2008· article· en· W2040663131 on OpenAlexaff
Chris Spence, Kati Kulovesi, María Margarita Gutiérrez Gutiérrez, Miquel Muñoz

Bibliographic record

VenueReview of European Community & International Environmental Law · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsFuture EarthInternational Institute for Sustainable Development
Fundersnot available
KeywordsNegotiationCraftContext (archaeology)Flexibility (engineering)Political scienceClimate changeAction (physics)PoliticsCompromiseOutcome (game theory)Public relationsBusinessLawEconomicsManagementHistory

Abstract

fetched live from OpenAlex

This article reviews the December 2007 United Nations Climate Change Conference in Bali. It considers expectations for the meeting and whether the event delivered on these expectations. It also evaluates the long‐term context of the meeting and examines the discussions in Bali on the post‐2012 period (when the Kyoto Protocol's first ‘commitment period’ expires). The article finds that the Bali meeting did not necessarily meet public expectations or respond directly to the latest scientific assessments calling for urgent action. However, the article also finds that Bali was successful in the context of the prevailing political and diplomatic realities and the immense complexity of the climate change challenge – a problem that does not lend itself to a ‘quick fix’ solution. The article concludes that Bali produced a solid outcome that gives direction to future talks and sets a clear deadline for their completion. Finally, it argues that, contrary to some experts’ opinion, the lack of detail in the Bali outcome may prove to be a strength rather than a weakness, since it provides flexibility to negotiators as they try to craft a consensus by the end of 2009.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.230
GPT teacher head0.339
Teacher spread0.110 · 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 designTheoretical or conceptual
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

Citations8
Published2008
Admission routes1
Has abstractyes

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