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Record W4411439231 · doi:10.1139/as-2025-0040

Long-term monitoring of Arctic birds at the East Bay Island Field Station, within the Qaqsauqtuuq Migratory Bird Sanctuary, 1996–2023

2025· article· en· W4411439231 on OpenAlexaffvenueabout
H. Grant Gilchrist, Holly L. Hennin, E. Isabel Buttler, Jennifer F. Provencher, Josiah Nakoolak, Paul A. Smith, Michael Janssen, Mark R. Forbes, Christina A. D. Semeniuk, Karel A. Allard, Joël Bêty, Nik Clyde, Sébastien Descamps, Frankie Jean‐Gagnon, Dominique Henri, Pierre Legagneux, Christie Macdonald, Flemming Ravn Merkel, Anders Mosbech, Evan S. Richardson, Catherine Soos, Christian Sonne, Mark Wayland, Oliver P. Love

Bibliographic record

VenueArctic Science · 2025
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversité LavalNunavik Regional Board of Health and Social ServicesUniversity of WindsorParks CanadaNunavut Wildlife Management BoardUniversité du Québec à RimouskiNature Conservancy of CanadaCarleton UniversityEnvironment and Climate Change Canada
Fundersnot available
KeywordsEiderBayGeographyArcticIndigenousBird migrationFisheryPredationEcologyArchaeologyBiology

Abstract

fetched live from OpenAlex

Northern common eider ducks ( Somateria mollissima borealis, Linnaeus, 1758) are harvested throughout their range and represent an important resource of eggs, meat, and feather down. In the 1990s, there was growing Indigenous and international concern that eiders nesting in Arctic Canada were in decline. In response, Environment and Climate Change Canada (ECCC) established a field station on a small uninhabited island in East Bay, Southampton Island (64°01′N, 81°47′W), with the intention of developing a long-term study of eider demography that could inform harvest management. Throughout the nearly three-decade duration of the East Bay Island Field Station, field logistics revolved around regional sea ice conditions and how to maintain reliable transportation and access to the island. Despite these challenges, the gradual improvement of the field station facilitated a growing breadth of research as new issues emerged, many of which were unforeseen. Here, we provide an overview of the 28 years of research, including studies on the impacts of harvest, avian disease, contaminant levels and parasitology, details of bird migration, ecological trade-offs, and predator-prey dynamics. The breadth of these research topics reflects the diversity of expertise contributed by numerous university collaborators and graduate students, as well as Inuit ingenuity and Indigenous ecological knowledge that contributed to all stages of the research program.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.001
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 head0.033
GPT teacher head0.365
Teacher spread0.332 · 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

Citations2
Published2025
Admission routes3
Has abstractyes

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