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Record W4205289013 · doi:10.24124/2021/59209

Inuit knowledge and observations of changes in Arctic char (Salvelinus alpinus) and implications for subsistence livelihoods in Ulukhaktok, Northwest Territories, Canada

2021· dissertation· en· W4205289013 on OpenAlexaboutno aff
Jessica Smart

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsArctic charSalvelinusSubsistence agricultureArcticFishingLivelihoodFish migrationFisheryCharGeographyEnvironmental scienceOceanographyEcologyFish <Actinopterygii>BiologyGeologyArchaeology

Abstract

fetched live from OpenAlex

This thesis documents and examines recent changes observed in anadromous Arctic char (Iqalukpik) (Salvelinus alpinus) in Ulukhaktok, Northwest Territories, Canada, including how these changes are being experienced and responded to by community members. Ulukhaktomiut identified a need to document their knowledge and observations of Arctic char to help inform comanagement. The analysis of 20 semi-structured interviews with Ulukhaktomiut revealed six main concerns about Arctic char linked to changes arising in the local environment: (1) presence of salmon, (2) increasing temperature, (3) inconsistent sea and lake ice conditions, (4) changing weather patterns, (5) fluctuating water levels, and (6) the recent presence of tunicates in the ocean. Ulukhaktomiut respond to these changes at the individual and community levels, including altering fishing practices and temporarily halting commercial fishing. The results show that Ulukhaktomiut are astute observers of their local environment and are able to share highly detailed knowledge and observations of Arctic char. Environmental changes are emerging quickly, and there is a great deal of uncertainty among Ulukhaktomiut about why these changes are occurring and what impact they may have on Arctic char. Fisheries management structures will need to be flexible and responsive to ongoing local observations and the best available science to sustain a viable Arctic char fishery now and into the future.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.353
Teacher spread0.307 · 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 designQualitative
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
Published2021
Admission routes1
Has abstractyes

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