MétaCan
Menu
Back to cohort

Just Urban Food Systems: A New Direction for Food Access and Urban Social Justice

2010· article· en· W1509602242 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGeography Compass · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsQueen's University
Fundersnot available
KeywordsFood systemsNormativeEconomic JusticeFood sovereigntyDemocracySociologyFood studiesGlobal justiceFood securityGeographyPolitical scienceEnvironmental ethicsLawPolitics

Abstract

fetched live from OpenAlex

Abstract Food geography has exploded as a subfield of human geography in recent years; however, normative ideas of justice are not always explicitly addressed. The concept of a ‘just urban food system’ can incorporate ideals of justice into the issue of declining retail food accessibility for low‐income urban communities –‘food deserts’– which have yet to be analysed through a lens of justice. In this article, I review geographers’ and planners’ research on changing urban food landscapes; I also discuss ways that food scholars have implicitly and explicitly addressed normative frameworks, such as food justice, food democracy, food sovereignty and the moral economy. I conclude with three potential research agendas to encourage research on the just urban food system: collective consumption, urban public/private property struggles and the just city.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score0.489

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.022
GPT teacher head0.229
Teacher spread0.208 · 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