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Record W7161767990 · doi:10.82308/46681

Notre mot à dire: état des lieux sur la démocratie environnementale au Québec et en Colombie-Britannique

2016· dissertation· fr· W7161767990 on OpenAlexaboutno aff
Frédérique Bertrand-Le Borgne

Bibliographic record

Venuenot available
Typedissertation
Languagefr
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsPublic workEconomic JusticePilotage

Abstract

fetched live from OpenAlex

Cette thèse explore l'état de la démocratie environnementale au Québec et en Colombie- Britannique en analysant la façon dont s'articulent les droits procéduraux environnementaux dans les deux provinces. Ces droits, qui ont été structurés en trois piliers par le principe 10 de la Déclaration de Rio, sont reconnus comme étant l'accès à l'information environnementale, la participation du public au processus décisionnel et l'accès à la justice environnementale. La procédure d'évaluation environnementale est un des cadres où ils s'exercent tout particulièrement. Afin de mettre en lumière la force de la démocratie environnementale dans les deux juridictions provinciales, un examen de leur procédure d'évaluation environnementale respective sera effectué suivi d'une analyse comparative pour chacun des piliers. Ce faisant, cette thèse tirera pour chacun des droits analysés des conclusions et proposera différentes solutions afin de renforcer l'exercice des droits procéduraux environnementaux comme la constitutionnalisation du droit à l'information environnementale dans certains contextes, l'identification de certains problèmes de légitimité des institutions effectuant l'évaluation environnementale ainsi que la création de cours de justice spécialisées en environnement.

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)0.002
metaresearch head score (Gemma)0.004
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: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.408

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0050.004
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.000

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 head0.011
GPT teacher head0.283
Teacher spread0.272 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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