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Record W4391240446 · doi:10.7202/1108679ar

Climat : un regard comparé sur le droit applicable à l’entreprise et à l’État

2024· article· fr· W4391240446 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 MontréalUniversité Laval
Fundersnot available
KeywordsPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

En raison de leur contribution au problème du climat, mais aussi du contrôle qu’ils sont en mesure d’exercer sur les sources d’émissions de gaz à effet de serre, l’État et l’entreprise sont deux acteurs centraux dans la lutte contre les changements climatiques. À ce titre, ils sont chacun assujettis à un ensemble de règles se rapportant à cet enjeu. Mais l’entreprise et l’État sont aussi des acteurs très différents. Dès lors, le droit des changements climatiques qui leur est applicable est-il, par ricochet, lui aussi marqué par de profondes différences, ou au contraire existe-t-il certaines similarités entre ces deux formes de droit ? Partant de cette interrogation, cette contribution vise à mettre en lumière les dynamiques communes qui traversent aujourd’hui le droit des changements climatiques qui est applicable à l’État et à l’entreprise.

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), Scholarly communication, 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 score0.883
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.004

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 head0.019
GPT teacher head0.238
Teacher spread0.219 · 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