MétaCan
Menu
Back to cohort
Record W4220673170 · doi:10.3917/neg.036.0049

Diplomaties marginales : les peuples autochtones au sein des négociations climatiques internationales

2022· article· fr· W4220673170 on OpenAlexaff
Louise Nachet

Bibliographic record

VenueNégociations · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicEnvironmental Justice and Health Disparities
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Les peuples autochtones constituent parmi les individus les plus marginalisés de la planète. Représentant plus de 370 millions d’individus répartis sur tous les continents, ils subissent de manière disproportionnée les effets des changements climatiques qui menacent leurs modes de vie traditionnels, leurs pratiques culturelles et leurs droits les plus fondamentaux. Pourtant, loin des images de simples victimes qui sont véhiculées dans l’imaginaire collectif, les peuples autochtones se sont considérablement investis dans la lutte contre les changements climatiques, notamment dans les travaux de la Convention-cadre des Nations unies sur les changements climatiques. Ces arènes de négociations internationales représentent des espaces dans lesquels les peuples autochtones tentent d’articuler des intérêts et des paradigmes alternatifs, à même de renouveler les objectifs et les stratégies du régime climatique. Cependant, l’examen des tensions survenues autour de l’inclusion des droits humains dans l’Accord de Paris en 2015 vient souligner les nombreux défis qui continuent à entraver l’expression des diplomaties autochtones.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
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
Bibliometrics0.0000.001
Science and technology studies0.0090.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.089
GPT teacher head0.365
Teacher spread0.277 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueNégociationsSame topicEnvironmental Justice and Health DisparitiesFrench-language works237,207