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Record W2984308965 · doi:10.32799/ijih.v14i2.31938

Growing Beyond Nutrition:

2019· article· en· W2984308965 on OpenAlexafffundvenueabout
Kelsey Timler, Colleen Varcoe, Helen Brown

Bibliographic record

VenueInternational Journal of Indigenous Health · 2019
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsIndigenousFood sovereigntyColonialismFood securityContext (archaeology)SovereigntyPolitical scienceEconomic growthPrisonFocus groupFirst nationCriminologyGeographySociologyEcologyPoliticsLawAgriculture

Abstract

fetched live from OpenAlex

Many Indigenous communities in Canada experience disproportionate rates of food insecurity and diet-related diseases impacted by historic and ongoing colonialism. Barriers to health and wellbeing associated with ongoing colonial processes also have resulted in inequities for Indigenous peoples within the criminal justice system. A prison garden program in British Columbia, Canada, attempts to address inmate rehabilitation and Indigenous community food insecurity by supporting incarcerated men to grow and subsequently donate organic produce to rural and remote Indigenous communities. Qualitative research undertaken to study program impacts shows that the focus on food security for Indigenous communities, while important, does not take into account wider contexts of colonialism and the importance of access to land, resources and rights inherent in food sovereignty. The study findings signal the limitations of programs and research that focus solely on food security for Indigenous peoples, and outlines how accounting for the colonial context can emphasize the critical role of Indigenous values, community strengths, and priorities for fostering food sovereignty and health.

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, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.784
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.023
GPT teacher head0.393
Teacher spread0.371 · 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 designNot applicable
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

Citations14
Published2019
Admission routes4
Has abstractyes

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