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Record W6944635987 · doi:10.20381/ruor-31300

Exploring Regional Differences in Traditional Food Harvesting in Three Northern Indigenous Communities in Canada

2025· dissertation· en· W6944635987 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Ottawa - Library · 2025
Typedissertation
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousFood sovereigntyFood securityTraditional knowledgeFood systemsScale (ratio)Relevance (law)Food processing

Abstract

fetched live from OpenAlex

Across what is now called Canada, Indigenous communities have been navigating a complex and challenging relationship with food security and food sovereignty. This relationship has been shaped by several factors, including geographical location, depletion of food sources, forced settlement, and the shift toward a wage-based economy, among others. This paper investigates how traditional foods contribute to meeting the energy requirements of three northern Indigenous communities: Clyde River, Moose Cree First Nation, and Old Crow. It begins by exploring the concepts of food security and food sovereignty and their relevance to Indigenous communities. This study highlights the cultural significance of traditional food systems and the lasting impacts of colonization on these relationships. By calculating the Total Energy Expenditure (TEE) for each community and estimating how many of the most hunted and consumed animals would be needed to meet a 17% contribution rate, the research illustrates the scale of harvesting required to sustain these communities. While reaching such targets may not be feasible for all, the findings emphasize the absolute necessity of supporting culturally appropriate, community-led, and ecologically sustainable traditional harvesting practices.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.165
GPT teacher head0.250
Teacher spread0.085 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

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