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Record W4387664660 · doi:10.1139/as-2022-0016

Observations of social and environmental change on Kendall Island <i>(Ukiivik)</i>, a traditional whaling camp in the Inuvialuit Settlement Region

2023· article· en· W4387664660 on OpenAlexafffundvenueabout
Kimberly L. Ovitz, Kathleen G.A. Matari, Shannon O'Hara, Douglas Esagok, Lisa L. Loseto

Bibliographic record

VenueArctic Science · 2023
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsInuvialuit Regional CorporationNunavut Research InstituteUniversity of ManitobaFisheries and Oceans Canada
FundersFisheries and Oceans CanadaHealth CanadaAurora Research InstituteWorld Wildlife Fund
KeywordsSubsistence agricultureClimate changeEnvironmental changeGeographyEnvironmental resource managementContext (archaeology)SituatedArcticEnvironmental planningEcologyAgricultureArchaeology

Abstract

fetched live from OpenAlex

As climate change intensifies, Inuvialuit in Canada's Western Arctic are facing a rapidly changing environment and associated impacts on human health, safety, and food security. Learning to cope with these changes requires context-based and current information that can inform subsistence activities and environmental management, and no one is better positioned to acquire this information than Inuvialuit themselves. This paper presents findings from in-depth interviews conducted in 2012 with six knowledge holders and seasonal residents of Kendall Island ( Ukiivik in Uummarmiutun), a traditional whaling camp situated along the Beaufort Sea coast bordering the Okeevik Tarium Niryutait Marine Protected Area. A transdisciplinary and Inuvialuit-led effort, this research documents observations of change at this culturally important site and explores how residents are adapting to changing conditions. Interview transcripts were analyzed using iterative rounds of qualitative coding in NVivo software. Findings reveal pervasive social and environmental change on Kendall Island and in adjacent harvesting areas and highlight how changing conditions are affecting residents’ lives. This study identifies benchmarks upon which to compare and evaluate subsequent changes at this site and documents Inuvialuit knowledge and perspectives that can inform local-scale environmental monitoring, management, and climate change adaptation planning.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.488
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.271
GPT teacher head0.377
Teacher spread0.107 · 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

Citations9
Published2023
Admission routes4
Has abstractyes

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