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Record W4391240428 · doi:10.7202/1108678ar

Typologie des contentieux climatiques contre les entreprises

2024· article· fr· W4391240428 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueLex Electronica · 2024
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicRegulation and Compliance Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPolitical scienceGeologyGeography

Abstract

fetched live from OpenAlex

Les contentieux climatiques contre les entreprises se multiplient à travers le monde à la faveur d’une réglementation, toujours plus riche, exigeant des acteurs davantage de transparence et de vigilance en matière climatique. S’il est pour l’instant difficile d’en faire un bilan, on peut néanmoins d’ores et déjà percevoir les contours de ces contentieux. Empruntant des chemins différents, dont certains sont « classiques » (notamment la responsabilité civile délictuelle), d’autres plus originaux (infractions du droit pénal des affaires ou du droit de la consommation), ils poursuivent un même objectif ultime : responsabiliser les entreprises face à leur impact et les rendre juridiquement responsables des dommages climatiques passés et en cours, et des dommages climatiques futurs. La présente contribution dresse une typologie non exhaustive de ces contentieux, selon qu’ils concernent directement ou indirectement la question du changement climatique.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.854
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 studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.043
GPT teacher head0.281
Teacher spread0.238 · 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