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Record W4381277824 · doi:10.1656/045.030.0202

Daytime Surface Sightings and the Distribution of Finback (Balaenoptera physalus), Minke (Balaenoptera acutorostrata), and Humpback (Megaptera novaeangliae) Whales in the Quoddy Region of the Bay of Fundy, Canada

2023· article· en· W4381277824 on OpenAlexaffabout
Tessa Lachance, Jane Campbell, S. D. Turnbull

Bibliographic record

VenueNortheastern Naturalist · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsMinke whaleBalaenopteraHumpback whaleFisheryWhaleBayOceanographyForagingGeographyBiologyGeologyEcology

Abstract

fetched live from OpenAlex

We collected data on the distribution of Balaenoptera physalus (Finback Whale), Balaenoptera acutorostrata (Minke Whale), and Megaptera novaeangliae (Humpback Whale), in the Quoddy region of the Bay of Fundy, Canada, from a whale-watching vessel during commercial tours from 2006 to 2012. Sightings were non-random between species and showed clumped distributions over the study area: Finback Whales (χ2 = 2454.03, df = 7, P < 0.005), Minke Whales (χ2 = 3488.24, df = 7, P < 0.005), and Humpback Whales (χ2 = 301.784, df = 7, P < 0.005). Minke Whales were most frequently sighted in Head Harbour Passage, high concentrations of Finback Whales were most frequently sighted off Blacks Harbour, and Humpback Whale sightings were highest around The Wolves. It appears that the whales aggregate in response to physical and biological features of the environment, such as depth, bottom topography, and fine-scale oceanographic features that enable foraging. Oceanographic features such as tidal state and temperature also influence the distribution of whales by aggregating their common prey species in high concentrations.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.681

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.205
Teacher spread0.194 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2023
Admission routes2
Has abstractyes

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