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Record W1963881561 · doi:10.7202/1021215ar

Une archéologie philosophique des normes environnementales : biopolitique et droit des peuples autochtones

2014· article· fr· W1963881561 on OpenAlexvenueno aff
Aliénor Bertrand

Bibliographic record

VenueRevue générale de droit · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceEthnologyPhilosophySociology

Abstract

fetched live from OpenAlex

Cet article décrit la dialectique qui oppose les droits des peuples autochtones et les normes de protection de la nature. Il défend l’hypothèse selon laquelle ces normes sont un instrument de biopouvoir. Dessinant une nouvelle archéologie philosophique, il discute et renverse la périodisation proposée par Foucault en distinguant trois grandes formes de biopolitique ayant rythmé successivement l’histoire de l’expansion occidentale : la biopolitique esclavagiste, la biopolitique sanitaire et la biopolitique environnementale. La combinaison de cette nouvelle périodisation avec l’anthropologie de la nature de Philippe Descola permet une réinterprétation puissante des dispositifs de pouvoir qui se sont succédé depuis le début de l’époque moderne. Réinscrites dans une perspective de longue durée, les normes environnementales apparaissent alors comme un outil majeur de l’imposition au monde du socle anthropologique de l’Occident moderne. Mais les dynamiques historiques d’opposition ou de synergie entre les systèmes de droit coutumier, les édifices juridiques de souveraineté et les gouvernementalités biopolitiques montrent aussi que le droit naissant des peuples autochtones ouvre une double voie de résistance au pouvoir des États et à la normativité environnementale néolibérale.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.036
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0020.004
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 head0.088
GPT teacher head0.291
Teacher spread0.202 · 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 designQualitative
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
Published2014
Admission routes1
Has abstractyes

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