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Record W4313643496 · doi:10.1139/as-2022-0019

Nunavik anadromous Arctic char life histories, behaviour, and habitat use informed by both Inuit knowledge and western science: a year in Ungava Bay

2023· article· en· W4313643496 on OpenAlexafffundvenueabout
Véronique Dubos, Peter T. May, Carole‐Anne Gillis, André St‐Hilaire, Normand Bergeron

Bibliographic record

VenueArctic Science · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsNunavik Regional Board of Health and Social ServicesMakivik CorporationInstitut National de la Recherche Scientifique
FundersMcGill University
KeywordsArctic charArcticCharSalvelinusBayEcologyThe arcticGeographyOceanographyArchaeologyFisheryBiologyGeology

Abstract

fetched live from OpenAlex

This study is a comprehensive documentation of anadromous Arctic char ( Salvelinus alpinus) life history in Ungava Bay, Nunavik, Canada, through Inuit knowledge. Inuit experts shared their knowledge during semidirected interviews and other occasions such as informal discussions and fieldwork. A contextualized synthesis of published western scientific literature is provided for the various life stages of Arctic char. The close year-round relationship Inuit have with Arctic char allows to set evidence of poorly described life-history strategies in western literature and to reveal behaviours that, to the best of the authors’ knowledge, have not been documented so far. The connections and paralleling of Inuit knowledge and published studies about Arctic char informs western science with a more holistic understanding of Arctic char ecology. By bringing Inuit knowledge of Arctic char to the foreground, the present study highlights relevant research avenues for co-developed projects on Arctic char ecology.

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)0.002
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 score0.033
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.004
Scholarly communication0.0000.002
Open science0.0010.002
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 head0.021
GPT teacher head0.264
Teacher spread0.243 · 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

Citations14
Published2023
Admission routes4
Has abstractyes

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