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Record W2116829636 · doi:10.3763/ijas.2009.0454

Putting the culture back into agriculture: civic engagement, community and the celebration of local food

2010· article· en· W2116829636 on OpenAlex
Jennifer Sumner, Heather Mair, Erin Nelson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Agricultural Sustainability · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsUniversity of GuelphUniversity of WaterlooUniversity of Toronto
Fundersnot available
KeywordsAgricultureUrban agricultureFood systemsSustainable agricultureSustainable Agriculture Innovation NetworkSociologySustainabilityCivic engagementBusinessPolitical scienceMarketingGeographyFood securityEcology

Abstract

fetched live from OpenAlex

This paper reports on the case study of a community-supported agriculture (CSA) farm in south-western Ontario, Canada. As an exemplar of urban agriculture, Fourfold Farm CSA operates from an alternative agriculture paradigm and is built upon the socio-ecological practices of civic engagement, community and the celebration of local food. Analysis of in-depth, key informant interviews with members of the CSA as well as the co-founders reveals the extent to which the farm is much more than a source of healthy, organic food. The paper outlines the ways the CSA operators and their members articulate a deeper endeavour to link urban food consumers with food producers through cultural activities. The discussion concludes with a call for more social research in agriculture as well as a broader effort to articulate the ways urban agriculture can contribute to putting the culture back into agriculture and creating sustainable systems of farming.

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score0.693

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.008
GPT teacher head0.223
Teacher spread0.216 · 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