Management solutions for an at-risk population of northern bottlenose whales (Hyperoodon ampullatus) in the international waters of the Sackville Spur [graduate project].
Bibliographic record
Abstract
Recent visual and acoustic evidence has indicated the presence of a previously undescribed population of northern bottlenose whales (Hyperoodon ampullatus) around the Sackville Spur, an undersea sediment drift bordering the Flemish Pass in the international waters east of Newfoundland. The area is subject to intense fishing pressure, ongoing hydrocarbon exploration activities and shipping traffic, which threaten this population of whales with acoustic disturbance, entanglement, vessel strike and exposure to contaminants and marine pollution. In light of these negative impacts and large knowledge gaps surrounding the population, protective measures are required. However, there are a lack of clear regulatory and governance mechanisms that exist to guide conservation of sensitive marine species in international waters. To address this complex situation, a risk analysis was conducted to identify which threats most required management intervention. Solutions for the most severe threats were evaluated based on their perceived feasibility and effectiveness, and formed the basis of a shortlist of management recommendations. In the absence of an existing international framework, proposed solutions include strengthening Canadian policy and legislation to address the effects of marine noise, incorporating whales into the ecosystem based approach used by regional fisheries management bodies, and implementing subsidy and incentive programs for marine industry. These protective measures would address the known threats and help ensure the long-term survival of this new population.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".