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Record W2074464058 · doi:10.4000/vertigo.10603

Les Accords de Cancún face aux enjeux des négociations internationales sur le climat

2011· article· fr· W2074464058 on OpenAlexaffvenue
René Audet, Patrick Bonin

Bibliographic record

VenueVertigO · 2011
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

La seizième Conférence des Parties (COP16) de la Convention-cadre des Nations Unies sur le changement climatique a pris fin le 11 décembre 2010 sur une note positive, alors que les Accords de Cancún ont été adoptés. Afin d’évaluer le résultat de la COP16, cet article se fixe le double objectif de réfléchir aux grands enjeux des négociations sur le climat, puis d’envisager les Accords de Cancún à la lumière de ceux-ci. Ces enjeux sont l’avenir du multilatéralisme, le problème de l’injustice climatique et l’incertitude sur l’architecture légale du futur traité sur le climat. Cette analyse des Accords de Cancún laisse paraître un paradoxe que la prochaine Conférence des Parties devra aborder de front à la fin de 2011.

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)0.004
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: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.299
GPT teacher head0.297
Teacher spread0.001 · 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

Citations2
Published2011
Admission routes2
Has abstractyes

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Same venueVertigOSame topicClimate Change Policy and EconomicsFrench-language works237,207