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Record W2344000616 · doi:10.1504/ier.2016.076141

Identifying opportunities and hurdles for food security: a critical examination of the City of Edmonton's food and agriculture strategy

2016· article· en· W2344000616 on OpenAlex
Lorelei L. Hanson, Deborah Schrader

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

VenueInterdisciplinary Environmental Review · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsUniversity of AlbertaAthabasca University
Fundersnot available
KeywordsTransformative learningFood securityFood systemsStatus quoLeverage (statistics)AgricultureSustainabilitySustainable agricultureUrban agricultureBusinessEconomic growthPolitical scienceSociologyEconomicsGeography

Abstract

fetched live from OpenAlex

Local food has emerged as a popular social movement across much of the developed world. While many are quick to see it as a challenge to the dominant agri-food system, some critical social scientists caution against assuming its transformative potential. Using a case study of the development of a food and urban agriculture strategy in Edmonton, Canada, we explore both the transformative potential of local urban food initiatives and the hurdles faced in trying to move beyond maintaining the status quo. Utilising survey data and semi-structured interviews, we examine how citizens and stakeholders conceptualise sustainability and a more sustainable food system emerging in Edmonton, and identify the leverage points within these imaginings for long-term local food system transformation.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.922
Threshold uncertainty score0.152

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 head0.042
GPT teacher head0.266
Teacher spread0.223 · 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