Passive Acoustic Gliders Are Effective Monitoring Tools for Dynamic Management Plans Aimed at Mitigating Whale‐Vessel Strikes
Bibliographic record
Abstract
ABSTRACT Dynamic management is intended to mitigate the impacts of human activities on wildlife when and where the activities overlap with at‐risk species. Amid an ever‐growing maritime industry, we researched the performance of mobile underwater passive acoustic gliders as near real‐time monitoring assets for the purpose of whale‐vessel strike mitigation through dynamic management. Across 580 glider survey days, 30 near real‐time acoustic detections of critically endangered North Atlantic right whales (NARWs) triggered 194 days of mandatory 10‐knot vessel speed limits in three Canadian Dynamic Shipping Zones (DSZs). We found a high degree of interannual and seasonal variation in NARW acoustic occurrence and vessel slowdowns in the DSZs. Gliders were more effective than aerial surveillance at triggering slowdowns by a factor of 2–5 during fall and summer but were less effective during spring. Our results provide unambiguous evidence that gliders are effective monitoring platforms that can enhance dynamic ocean management goals globally.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".