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Record W7161807455 · doi:10.82308/42256

Les attestations d'assainissement au Québec : des ententes environnementales avantageuses pour les industries ou l'environnement?

2005· dissertation· fr· W7161807455 on OpenAlexaboutno aff
Pierre-Olivier Desmarchais

Bibliographic record

Venuenot available
Typedissertation
Languagefr
FieldBusiness, Management and Accounting
TopicRegulation and Compliance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationLegislationDeregulationParliamentAuthorizationEuropean unionMemorandum

Abstract

fetched live from OpenAlex

The deregulation movement affecting the industrialized countries forced the governments to refocus their prescribed standards. In some jurisdictions, the difficulty raised by this practice resulted in the establishment, with the industry, of a negotiation plan for environmental agreements. In this document, we will explore the problematic of the characterization in law of environmental agreements reached by the administration and the industry. Furthermore, we will evaluate the pros and cons of using this system in the public administration. The subject of this research is mainly based on the depollution attestation adopted in 1988 by the Assemblee Nationale du Quebec to oversee industrial wastes. In effect since 1993, the implementation of this authorization plan has been affected by the various discussions that took place between the pulp and paper industry and the ministere de l'Environnement (MENV). The Protocole d'entente sur la mise en oeuvre des attestations d'assainissement, negociated between the MENV and the Quebec Forest Industries Association in 2000, initiated the licensing procedure of the first depollution attestations to the paper manufacturers targeted by section IV.2 of the Quebec Environment Quality Act. Qualified as a gentlemen's agreement, we will define the obligations of all the parties involved according to the terms of this Memorandum of Understanding. In closing, we will analyze the operating licence systems based upon the integrated approach of the European Union and the United States of America. We will therefore be able to compare the openness to consensus with the industrial sectors of those plans with that of the depollution attestation.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.519
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.002

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 head0.059
GPT teacher head0.282
Teacher spread0.223 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2005
Admission routes1
Has abstractyes

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