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Record W2317715602 · doi:10.5304/jafscd.2013.041.004

Farms or Freeways? Citizen Engagement and Municipal Governance in Edmonton's Food and Agriculture Strategy Development

2013· article· en· W2317715602 on OpenAlexafffundabout
Mary Beckie, Lorelei L. Hanson, Deborah Schrader

Bibliographic record

VenueJournal of Agriculture Food Systems and Community Development · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsAthabasca UniversityUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of CanadaAthabasca University
KeywordsUrban agricultureUrban sprawlFood securityFood systemsUrban planningContext (archaeology)AgricultureSustainabilityCorporate governanceBusinessEnvironmental planningEconomic growthGeographyEconomicsFinance

Abstract

fetched live from OpenAlex

In the mid- to late 1990s, most provincial governments in Canada downloaded or devolved authority for land use planning to local levels of government. In Alberta, this shifted responsibility for the protection of farmland to municipalities. However, a strong oil and gas economy and rapid growth of Alberta's urban centers in recent decades has resulted in significant loss of prime farmland to urban and industrial development. In Edmonton, Alberta's capital city, citizens' concerns over food security and the protection of farmland within city boundaries shaped the 2010 municipal development plan, which links land use planning with food and agriculture, and also paved the way for an Edmonton agri-food strategy. In this exploratory case study we examine factors shaping Edmonton's food policy development and implementation, and the impact on prime farmland in the city's outer limits. Despite progressive changes in policy due to strong citizen support, municipal council's approval of a food and agriculture strategy lacking hard targets subsequently set the stage for continued urban sprawl and loss of prime farmland. This study illuminates the conflicts between citizens' demand for sustainable urban food systems and the development narrative still prevalent in many North American cities. We conclude the paper by discussing the key levers required to ensure the transformational context required to institute holistic food system strategies.

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 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)0.001
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 score0.719
Threshold uncertainty score0.761

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.033
GPT teacher head0.210
Teacher spread0.177 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations19
Published2013
Admission routes3
Has abstractyes

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