L’adaptation du droit aux changements climatiques en matière d’érosion des zones côtières
Bibliographic record
Abstract
The problem of coastal erosion, exacerbated by anthropogenic stressors such as riverbank deforestation, is a largely natural phenomenon with the potential of causing, in the medium-to-long term, significant damage to many coastal communities.In the context of the ever-increasing vulnerability of coastal structures due to climate change and the resulting increased frequency of extreme weather events, this article examines the response of four Quebec municipalities and of the Government of Quebec to manage the risks associated with coastal erosion after the tidal flooding of 2010 known in French as "Les Grandes marées de 2010".Based on a diachronic examination of the strategies adopted to reduce the risk of erosion, to mitigate damage and to provide compensation, the authors identify some of the paradigm changes that emerged following that event as well as the changes necessary to develop an adequate response for managing the human, material and environmental risks arising from coastal erosion in the context of climate change.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".