Development of passive acoustic monitoring systems for Northern right whales
Bibliographic record
Abstract
a b s t r a c tBoth species o f northern right whale (North Atlantic, Eubalaena glacialis and North Pacific, Eubalaena japonica) are critically endangered.The overall distribution o f these small, migratory populations is not well known, especially outside o f summer.Passive acoustic monitoring is a tool that could provide information on locations o f whales.Better distributional information will inform management efforts to reduce anthropogenic mortalities caused by both ship strikes and fisheries interactions.Recent research on passive acoustic monitoring is summarised, focusing on developments relevant to detection and classification o f right whale calls.Some outstanding research requirements are outlined, including the need for the development of models to investigate the potential for risk reduction from acoustic data.Buoys capable o f fully automatic whale vocalisation detection, classification and transmission to shore are currently under development. s o m m a i r eLes deux espèces de baleines franches nordiques (Atlantique Nord, Eubalaena glacialis et Pacifique Nord, Eubalaena japonica) sont gravement menacées d 'extinction.La distribution générale de ces petites populations migratoires demeure à ce jour méconnue, plus spécifiquement en dehors de la période estivale.Le monitorage acoustique passif est un outil pouvant donner de l 'information sur l'emplacement des baleines.Une meilleure indication de la distribution de ces dernières pourrait fournir des renseignements sur les efforts mis en place pour réduire les mortalités de cause anthropogénique causées à la fois par les collisions avec les bateaux et les interactions avec l'industrie de la pêche.Les recherches les plus récentes sur le monitorage acoustique passif sont ici résumées, en mettant l 'accent sur les développements pertinents à la détection et la classification des vocalisations de baleines franches.Quelques lacunes tirées des conclusions de ces recherches sont soulignées, incluant le besoin de développer des modèles pour investiguer le potentiel des données acoustiques dans la réduction du risque.Des balises capables de détection, de classification et de transmission vers la côte sont présentement en développement.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".