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Record W2547897520 · doi:10.5962/p.363754

Status of the White-beaked Dolphin, Lagenorhynchus albirostris, in Canada

2001· article· en· W2547897520 on OpenAlexaffvenueabout
Jon Lien, Dawn Nelson, Dong Jin Hai

Bibliographic record

VenueThe Canadian Field-Naturalist · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsMemorial University of Newfoundland
FundersWorld Wildlife Fund
KeywordsPredationBiologySexual maturityLimitingApex predatorFishingFisheryRange (aeronautics)EcologyWhaleZoology

Abstract

fetched live from OpenAlex

White-beaked Dolphins are common and abundant in the north Atlantic.Abundance appears greater in northeastern areas compared to the northwestern Atlantic where its range extends from Davis Strait to the Hague Line on George's Bank, and into U.S. waters.Relationships between populations observed in different areas are not known.Total or local populations are not known to be reduced or depleted.The biology and ecology of this species has been incompletely studied.It occurs in social groups ranging from dozens to hundreds of individuals; there is some indication that groups may segregate based on age/maturity.Sexual maturity occurs in females at lengths from 1.74 to 2.49 m; 50% are mature at 2.42 m.Males are larger at sexual maturity (2.51 to 2.57 m).Factors limiting northwestern Atlantic White-beaked Dolphins may include hunting, incidental entrapments in fishing gear, ice entrapments and, possibly, pollution.Such factors should be monitored carefully but are not, at present, believed to have substantial impacts on the species, although there may be reduction of some local populations.Factors such as ice entrapments, parasites, infections, mass strandings and predation are recognized as naturally occurring mortality and are not presumed to normally limit the species.There is no evidence of any major threat to this species in zones under Canadian jurisdiction.However, careful monitoring of hunting activities in Labrador is recommended and fisheries by-catches should be carefully monitored.

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 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)0.000
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 score0.163
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.014
GPT teacher head0.210
Teacher spread0.196 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations18
Published2001
Admission routes3
Has abstractyes

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