La responsabilité des administrateurs dans le régime de sanctions administratives pécuniaires en matière de protection de l’environnement
Bibliographic record
Abstract
With the adoption of the Act to amend the Environment Quality Act in order to reinforce compliance in 2011, the legislator came to establish a system of administrative monetary penalties for the protection of the environment. This new regime aims for a faster sanction that can be issued directly by the administrative power. This new sanction not only strengthens the applicability of the Environment Quality Act, but it also adds an additional burden to Quebec businesses. The objective of this thesis is to understand to what extent the system of administrative monetary penalties impacts the liability of administrators. To do this, we will first present the Environment Quality Act, which mainly governs the protection of the environment in Quebec, and above all describe the nature and objective of this system of administrative monetary penalties. Next, we will deal with certain aspects of this regime which have implications for administrator's liability. Finally, we will attempt to briefly introduce some of the observations we have made regarding the challenges and limitations of this administrative regime.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".