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Record W4411414285 · doi:10.1080/17441692.2025.2516704

‘Keep learning, keep trying’: exploring food and cultural experiences and supports of Inuvialuit youth in the Inuvialuit Settlement Region

2025· article· en· W4411414285 on OpenAlexafffund
Maria Ramirez Prieto, Sonja Ostertag, Kanelsa Noksana, Shayla Arey, Denise Wolki, Susie Memogana, Celina Wolki, Aimee Yurris, Kelly Skinner

Bibliographic record

VenueGlobal Public Health · 2025
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Waterloo
FundersGlobal Water FuturesCanadian Institutes of Health ResearchPublic Health Agency of Canada
KeywordsPhotovoiceSubsistence agricultureThematic analysisFood securitySociologyReflexivityConsumption (sociology)Socioeconomic statusGeographyPopulationQualitative researchEconomic growthAgricultureSocial scienceEconomics

Abstract

fetched live from OpenAlex

Country food (CF) and subsistence harvesting are crucial for Inuvialuit of the Inuvialuit Settlement Region, contributing to food security, wellbeing and cultural continuity. However, youth face barriers to participating in these activities, with a shift away from CF consumption among younger generations. This community-based study used Photovoice to explore Inuvialuit youth experiences with CF to support Inuvialuit food security. Eleven co-researchers aged 13-30 documented their CF experiences through photographs and interviews. Reflexive thematic analysis identified five themes: (1) CF supports Inuvialuit youth wellbeing, (2) Preference for CF despite varied consumption and activity frequencies, (3) Network of CF within communities, (4) Strong foundational cultural knowledge and skills, and (5) Cultural continuity. These themes underscore the importance of CF in maintaining food security and Inuvialuit youth wellbeing.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.131
GPT teacher head0.395
Teacher spread0.263 · 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 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

Citations1
Published2025
Admission routes2
Has abstractyes

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