Sharing the waters: Application of a marine spatial planning approach to conserve and restore the acoustic habitat of endangered beluga whales (Delphinapterus leucas) in and around the Saguenay–St. Lawrence Marine Park
Bibliographic record
Abstract
Anthropogenic underwater noise degrades the quality of whale habitats, affecting vital functions which may compromise the recovery of species at risk exposed to chronic vessel-based activities. The endangered St. Lawrence Estuary (SLE) beluga (Delphinapterus leucas) lives downstream from industrial activities in a highly accessible coastal environment. Many approaches were deployed in the Saguenay-St. Lawrence Marine Park to address the issue of cohabitation between whales and vessels. Place-based conservation measures aimed at protecting and restoring the tranquility of key areas of SLE beluga critical habitat by managing vessel-based activities were implemented through a marine spatial planning approach. They involved protecting the quietness of the South Channel by avoiding rerouting shipping, establishing of a regulatory area closure in Baie Sainte-Marguerite and of a beluga conservation area without commercial whale-watching in the Upper SLE. Compliance monitoring show that these efforts are effective to enhance the protection and restoration of the acoustic habitat.
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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 | 0.001 | 0.002 |
| 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 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".