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Record W4404041699 · doi:10.7202/1114023ar

Les États écologiquement fragiles face aux obligations positives déduites des instruments conventionnels de protection des droits humains : les leçons de l’Affaire des <i>Insulaires du détroit de Torres</i> devant le comité des droits de l’homme des Nations unies (22 septembre 2022)

2023· article· fr· W4404041699 on OpenAlexvenueno aff
Christian Tshiamala Banungana

Bibliographic record

VenueRevue québécoise de droit international · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceFace (sociological concept)ArtSociologySocial science

Abstract

fetched live from OpenAlex

Cette réflexion essaie de transposer la théorie de la fragilité étatique aux réalités écologiques multiformes pouvant conditionner l’État dans l’accomplissement de ses fonctions régaliennes impliquant notamment la protection des droits de la personne. Dans une certaine proportion, certains États se trouvent obligés, face aux phénomènes écologiques/climatiques, d’adopter au titre des obligations positives des mesures allant au-delà des formalités d’effectivité normative en inscrivant les spécificités pragmatiques inhérentes à la protection environnementale : par la prise en compte par exemple des principes de précaution et de prévention. Illustrant l’hypothèse d’une fragilité écologique moins extrême pour l’État, l’affaire du Détroit de Torres évoque les mesures d’atténuation et d’adaptation comme obligations positives au titre du Pacte international relatif aux droits civils et politiques . Laboratoire expérimental de judiciarisation des droits humains, le Comité des droits de l’homme aborde à travers cette affaire les interactions épistémologiques participant à la réalisation de deux objectifs somme toute complémentaires visant la sauvegarde des droits de la personne par la protection du climat. Elle motive à ce titre la violation des droits humains par l’absence des mesures d’adaptation et d’atténuation opportunes et adéquates.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptuallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptualmedium
models agreeAgreement compares identical category sets and study designs across arms.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0070.004
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.296
Teacher spread0.259 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2023
Admission routes1
Has abstractyes

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