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Record W4402581627 · doi:10.22605/rrh9055

Promoting women's wellbeing through the Niska (Goose) Harvesting Program in subarctic Ontario, Canada

2024· article· en· W4402581627 on OpenAlexafffundabout
Fatima Ahmed, Aleksandra M. Zuk, Celine Sutherland, Roger Davey, Andrew Solomon, Eric N. Liberda, Leonard J. S. Tsuji

Bibliographic record

VenueRural and Remote Health · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsToronto Metropolitan UniversityQueen's UniversityAssembly of First NationsUniversity of Toronto
FundersInstitute of Indigenous Peoples' HealthCanadian Institutes of Health Research
KeywordsIndigenousGoosePsychological resilienceTraditional knowledgeSociologyEconomic growthEnvironmental ethicsPolitical scienceGerontologyEcologyMedicinePsychologyBiology

Abstract

fetched live from OpenAlex

INTRODUCTION: Geese harvesting is a longstanding cultural tradition deeply ingrained among the Omushkego Cree in Fort Albany First Nation, embodying a holistic approach to health that integrates Indigenous knowledge, community wellbeing, and resilience. Despite historical disruptions stemming from colonization and assimilation policies, women have played a pivotal role in preserving and passing down traditional practices. The significance of goose harvesting extends beyond providing a nutrient-rich and cost-effective food source; it serves as a vehicle for cultural preservation and education, particularly fostering language acquisition among children. Nevertheless, concerns persist regarding the potential decline in the transmission of Indigenous knowledge. The interruption of intergenerational knowledge transfer not only poses implications for overall wellbeing but also worsens historical trauma within the community. In response to these challenges, the Niska (goose) harvesting program was developed with an aim to revitalize community harvesting practices, with a specific focus on incorporating the perspectives of women, especially in the preparatory and smoking phases of the geese. METHODS: Omushkego Cree women were approached to participate. The study was conducted during the spring of 2018, and employed photovoice and semi-structured interviews that explored the impact of geese preparatory activities on the health and wellbeing of Indigenous women. RESULTS: Major themes from the qualitative data included the importance of knowledge sharing, cultural continuity, healing, and the profound connection to the land. Women emphasized the value of sharing acquired knowledge, passing on traditions, and maintaining a connection to their cultural identity. Cultural continuity, depicted through intergenerational teachings and experiences, emerged as crucial for overall wellbeing. Participants spoke of the healing dynamics derived from engaging in traditional activities, highlighting the positive impact on physical, mental, emotional, and spiritual wellbeing. The land was identified as a central element in this healing process, representing more than just a physical space but an extension of home, contributing to a sense of peace and tranquility. The land became a medium for transmitting cultural teachings, shaping identity, and sustaining a subsistence lifestyle. CONCLUSION: The study emphasizes the importance of future research including more female youth participants to uncover specific challenges and strengths within this demographic. Overall, the Niska program demonstrates a comprehensive approach that intertwines cultural revitalization, community engagement, and holistic wellbeing, emphasizing the need for interventions that go beyond immediate challenges to create enduring positive impacts on Indigenous communities.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0090.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.294
Teacher spread0.281 · 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".

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Citations2
Published2024
Admission routes3
Has abstractyes

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