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Record W3128499263 · doi:10.36939/cjur/vol29no2/art296

Pathways towards food sovereignty: Reconnecting individuals, food, nature and community in the inner city in Winnipeg, Manitoba

2021· article· en· W3128499263 on OpenAlexvenueaboutno aff
Zulfiya Tursunova, Chantal Ramraj, Stephanie Fulford, Monica Cyr, Shirley Thompson

Bibliographic record

VenueCanadian journal of urban research · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsFood sovereigntyGrassrootsFood systemsFood securityEconomic growthPovertySovereigntyCommunity organizationPolitical scienceGeographySociologyPublic relationsAgriculturePoliticsEconomicsLaw

Abstract

fetched live from OpenAlex

This case study research documented 15 interviews with inner-city residents of Winnipeg, Canada, concerning their experience of food swamps and struggles for food sovereignty. Community members from diverse cultural backgroundsreported coming together to adopt practices towards food sovereignty in their urban environment of West Broadway, historically characterized with inadequate housing, crime and poverty. This community and community organizations like West Broadway Community Organization (WBCO) response to the lack of access to healthy food choices in their neighbourhood but also to build community and agency. The programs of WBCO include community gardens, Farmer’s Markets, good food boxes and local farm field trips, which positively impacted the citizens of West Broadway. ‘Community spirit’ is forming in a community that only years earlier was known more for violence and crime. Many participants made positive comments about grassroots initiatives and advocated for more community gardens. WCBO is connecting people to grow, share and organize around food, as well as connect them with farmers and the food system to provide many elements of food sovereignty. However, to address food insecurity and health in West Broadway more needs to be done to provide better food infrastructure in boarding houses and local healthy grocery stores. Furthermore, action for food sovereignty requires more programming and organizing for community food planning.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.093
Threshold uncertainty score0.242

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0290.012
Scholarly communication0.0050.002
Open science0.0020.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.101
GPT teacher head0.274
Teacher spread0.174 · 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".

Quick stats

Citations6
Published2021
Admission routes2
Has abstractyes

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