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Record W7043026257

Seasonal movement and habitat use of beluga whales in the Canadian Beaufort Sea

2015· dissertation· en· W7043026257 on OpenAlexfundaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2015
Typedissertation
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsnot available
FundersArcticNetFisheries Joint Management CommitteeFisheries and Oceans CanadaBeaufort Regional Environmental AssessmentConocoPhillips
KeywordsBeluga WhaleBelugaHabitatEstuaryShoreBeaufort seaBeaufort scaleMarine habitats
DOInot available

Abstract

fetched live from OpenAlex

To enhance knowledge of beluga whale (Delphinapterus leucas) movement and habitat use in the southeast Beaufort Sea, we examined aerial survey data from two critical seasons: spring (2012-2013) and late-summer (2007-2009). In the spring, belugas were associated to variables of sea ice, bathymetry, and turbidity (chi-square), and a combination of classes within these variables (multiple correspondence analysis). In the late-summer, a resource selection function (RSF) evaluated the influence of sea surface temperature, chlorophyll a, bathymetry, and distance to shore on beluga habitat selection. In the spring, belugas primarily occurred in open water and close to fast-ice edges (<50 m), where increased freshwater flow was present. In the late-summer, prey aggregations likely influenced beluga selection of warmer waters (>0°C) found along the Mackenzie Shelf (<500 m), offshore of the Mackenzie Estuary and Tuktoyaktuk Peninsula. This research contributed important knowledge related to habitat requirements of Beaufort Sea beluga whales, and can support communities and decision-makers when monitoring the effects of climate change.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.026
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.026
GPT teacher head0.210
Teacher spread0.184 · 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 source (direct Gemma or distilled Codex), 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
Published2015
Admission routes2
Has abstractyes

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