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Record W2790010828

Variability in the Foraging Patterns of Polar Bears (Ursus Maritimus) in the Canadian High Arctic and Foxe Basin

2014· dissertation· en· W2790010828 on OpenAlexfundaboutno aff
Melissa P. Galicia

Bibliographic record

VenueYorkSpace (York University) · 2014
Typedissertation
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsnot available
FundersAboriginal Affairs and Northern Development CanadaNatural Sciences and Engineering Research Council of CanadaKenneth M. Molson FoundationDalhousie UniversityYork UniversityNunavut General Monitoring PlanMolson Foundation
KeywordsUrsus maritimusForagingArcticPolarGeographyThe arcticEcologyZoologyStructural basinBiologyOceanographyGeologyPaleontologyPhysics
DOInot available

Abstract

fetched live from OpenAlex

Ongoing climate warming is projected to cause further declines in sea ice across the Arctic; as a result the foraging ecology of marine species will change. This thesis aimed to investigate the ecological patterns associated with polar bear diet selection. I characterized polar bear diet in the High Arctic, an area that supports a high density of bears and Foxe Basin, a subpopulation that has remained stable despite shifts in sea ice habitat. I used adipose tissue samples and quantitative fatty acid signature analysis to quantify diet composition. Lipid content was used as an indicator of body condition and decreased from fall to spring in bears when prey are less available. Diet estimates revealed spatial differences in polar bear foraging and identified the importance of locally and seasonally abundant prey. The ability of some individuals to alternate between prey species may help mitigate the effects of a declining sea ice habitat.

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 score0.070
Threshold uncertainty score0.707

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.008
GPT teacher head0.190
Teacher spread0.182 · 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
Published2014
Admission routes2
Has abstractyes

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