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Record W6969182960 · doi:10.5443/11421

Interrogating low Arctic seabirds: Indicators of changing prey ocean and climate conditions

2012· dataset· en· W6969182960 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Polar Data Network · 2012
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSeabirdArcticBayForage fishForagingClimate changeForageArctic ecology

Abstract

fetched live from OpenAlex

Our research is centered on seabird predators and key forage species (Arctic cod, capelin, lantern fish, crustaceans). Simultaneous research in the High and Low Arctic is integrated through the Labrador Current that provides a ¿downstream¿ link to evaluate influences of High Arctic climate on marine life in Low Arctic ecosystems. In collaboration with Inuit and Newfoundland hunters and fishers, we use seabirds to sample the marine environment over multiple regional and ocean-basin scales. Analysis of seabird diets, reproductive performance and foraging behavior reveal climate associated changes in forage species assemblages. Seabird diets collected during 2007-09 extend existing time series data (1970s -1990s) to assess recent changes in forage fish and zooplankton diversity and distribution associated with changes in sea ice coverage in the High Arctic and with fluctuating water temperatures in the Low Arctic driven by the southward flowing Arctic Labrador Current. Information on the wintering movements and ocean residency areas of seabirds has previously been extremely difficult to assess using traditional methods (e.g. vessel observations, banding studies). To address this knowledge gap we deployed geo-location devices to record bird movements, placing them on Common and Thick-billed Murres from 7 breeding colonies in the eastern Canadian Arctic (Prince Leopold, Coats, Digges, Minarets) and Newfoundland and Labrador ( Gannet, Funk and Gull Islands), ranging in latitude from 47° to 74°N). The results from the geo-location studies are revealing new and unexpected insights into the non-breeding distributions of both murre species. Thick-billed Murres from Hudson Bay remained in the Bay until mid-November, coinciding with the usual period of sea ice formation in northern Hudson Bay and spent the early part of the winter farther north (Labrador Sea) than expected. Wintering areas were different for each colony, with individuals from the same colony showing similar wintering movements and patterns of habitat use. As well, movement patterns of individuals were consistent across years. Overall, Thick-billed Murres more ranged more widely than Common Murres. The offshore waters along the continental shelf edge of the Grand Bank were very important for Common Murres throughout the non-breeding period and most birds did not utilize coastal waters that previously were deemed so important for these birds.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.672
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.265
Teacher spread0.246 · 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

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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