MétaCan
Menu
Back to cohort
Record W2001291065 · doi:10.1080/14927713.2014.906172

Gardening in green space for environmental justice: food security, leisure and social capital

2013· article· en· W2001291065 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLeisure/Loisir · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationFood securitySocial capitalContext (archaeology)SociologyEthnographyEconomic JusticeEconomic growthOrder (exchange)AgriculturePublic relationsBusinessPolitical scienceGeographySocial scienceEconomics

Abstract

fetched live from OpenAlex

This ethnography examines the origins and growth of a rural community garden in the context of food security, leisure and social capital within an environmental justice framework. Community residents, including low-income populations, people with disabilities and senior citizens, banded together with the assistance of local leaders in order to grow healthy produce based on concerns of produce cost and commercial growing practices. Results indicate that participants did enter into the garden activity mainly for food security, but soon realized leisure benefits such as socializing and meeting new people. Moreover, the external social networks that facilitated the gardens resulted in the creation of internal social capital, including increased gardening knowledge and shared ability. Finally, we discuss implications to community/recreation leaders in the context of building social networks in rural areas, creating access and bringing together diverse populations within a leisure-based community garden.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.198
Teacher spread0.188 · 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