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Record W2314921871 · doi:10.5304/jafscd.2013.032.013

Cultivating More Than Food: Where Community Gardens Fit with What Cities Do

2013· article· en· W2314921871 on OpenAlexaff
Terri Evans, Christiana Miewald

Bibliographic record

VenueJournal of Agriculture Food Systems and Community Development · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPanacea (medicine)Consumption (sociology)Value (mathematics)Food insecurityUrban agricultureSociologyFood consumptionGeographyMarketingBusinessEconomic growthAgricultural economicsSocioeconomicsFood securitySocial scienceEconomicsAgriculture

Abstract

fetched live from OpenAlex

Hallsworth and Wong's viewpoint (2013) asserts that urban gardening, and by extension, other local food initiatives (farmers' markets, etc.) are insufficient strategies to replace the quantity and efficiency provided by contemporary globalized food systems for supplying cheap food to the (urbanizing) masses.We agree.Urban gardening, on its own, is not a panacea for addressing food insecurity in urban settings.

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)0.008
metaresearch head score (Gemma)0.021
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.013
Scholarly communication0.0080.018
Open science0.0030.007
Research integrity0.0080.010
Insufficient payload (model declined to judge)0.0130.003

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 head0.026
GPT teacher head0.202
Teacher spread0.176 · 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

Citations7
Published2013
Admission routes1
Has abstractyes

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