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Record W2314414716 · doi:10.3354/esr00458

Uncertain status of the northern bottlenose whale Hyperoodon ampullatus: population fragmentation, legacy of whaling and current threats

2012· article· en· W2314414716 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEndangered Species Research · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsDalhousie University
Fundersnot available
KeywordsWhalingRight whaleFisheryPopulationWhaleGeographyMarine mammalEndangered speciesBycatchFishingMetapopulationBottlenose dolphinOceanographyBiologyDemographyGeologySociology

Abstract

fetched live from OpenAlex

The northern bottlenose whale Hyperoodon ampullatus is the best-known beaked whale species, but its conservation status remains very uncertain. A medium-sized cetacean that lives in the deeper waters of the northern North Atlantic, it is remarkable for its deep dives and inquisitiveness towards ships. There seem to have been of the order of 100 000 whales prior to 40 yr of intense whaling beginning in the 1880s, and this population was undoubtedly heavily reduced by 1920. The effects of a second phase of whaling between 1937 and 1973 are contentious, and current abundance estimates are patchy. There are suggestions of metapopulation structure (even at the scale of 50 km) in the western Atlantic among populations that do not appear to migrate. In the eastern Atlantic, data on population structure and migrations are few and confusing. Whales are incidentally caught in fishing gear and interact with fisheries off Labrador, Canada. They may also be affected by underwater noise. However, the population consequences of these and other anthropogenic stressors, particularly within this unknown metapopulation structure, are very uncertain. In some respects, such as the paucity of sightings on major whaling grounds off mainland Norway and Labrador, the picture that we have is disturbing. Analyses of genes, contaminants and vocalizations, as well as photoidentification and satellite tag data, can inform about population structure, migrations, life history parameters, current population sizes, and threats.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.110
GPT teacher head0.364
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it