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Record W7074146189

Establishing a community garden in Miawpukek First Nation, Newfoundland, Canada

2025· article· en· W7074146189 on OpenAlexaffabout

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicTheoretical and Computational Physics
Canadian institutionsGeorgian CollegeUniversity of TorontoMemorial University of NewfoundlandFirst Nations Health and Social Secretariat of ManitobaToronto Metropolitan University
Fundersnot available
KeywordsIndigenousFood securityAgricultureFood sovereigntyFood safetyTraditional knowledgeFood systems
DOInot available

Abstract

fetched live from OpenAlex

Indigenous peoples are disproportionately affected by declining food security, particularly in isolated communities like Miawpukek First Nation (MFN), Newfoundland, where geographic isolation limits food access. MFN is only one example of many rural Indigenous communities attempting to estab­lish sustainable local food systems to improve food security. This study aimed to develop safe commu­nity garden sites at MFN while addressing potential soil contamination. Soil testing at proposed garden sites revealed inorganic arsenic (As) as the only contaminant of concern, with levels exceeding Canadian agricultural guidelines. To address this, Hügelkultur-style raised beds with imported soil were used. Potatoes grown in these beds had unde­tectable As levels, making them safe per Health Canada (HC) standards, whereas potatoes grown in the contaminated soil exceeded HC’s lower As guideline limit. Peeling these potatoes removed detectable As, leaving the flesh safe to consume, while the skins contained levels above HC recom­mendations. Kale grown in both raised beds and native soil remained within safety limits, suggesting certain crops may be less prone to contamination. These findings stress the importance of soil testing prior to establishing community gardens, especially in rural and remote areas. Food security ensures safe food access for all, but for Indigenous com­munities, it also fosters food sovereignty and resili­ence.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.126
GPT teacher head0.473
Teacher spread0.346 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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