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Record W3016791678 · doi:10.4000/vertigo.27457

L’expérience vécue de la nature : un levier pour transformer le politique dans un monde fini

2020· article· fr· W3016791678 on OpenAlexaffvenue
Caroline Lejeune, Gérald Heß

Bibliographic record

VenueVertigO · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicEnvironmental Justice and Health Disparities
Canadian institutionsCégep de Lévis
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Les éthiques environnementales et la théorie politique environnementale (TPE) ont eu pour projet de réfuter la conception anthropocentrée de l’éthique classique et de la théorie politique. Elles ont considéré que, seule, la reconnaissance de l’existence d’une valeur intrinsèque de la nature pouvait, entre autres, guider l’agir politique et déterminer les conditions d’une société définitivement soutenable et donc située dans les limites environnementales. Dans cet article, nous souhaitons explorer plus avant le recoupement entre les éthiques environnementales écocentrées et la TPE sur ce point précis que constitue la valeur intrinsèque de la nature. Notre hypothèse est que l’expérience vécue de la nature peut être un levier politique permettant de dépasser les dualismes traditionnels dans les systèmes de participation politique.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.719
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.281
Teacher spread0.268 · 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 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

Citations7
Published2020
Admission routes2
Has abstractyes

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