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Record W2548467956 · doi:10.36939/cjur/vol24no1/art5

Feeding the “Greenest City”: Historicizing "Local," Labour, and the Postcolonial Politics of Eating

2015· article· en· W2548467956 on OpenAlexaffvenueabout
Stephanie Lim

Bibliographic record

VenueCanadian journal of urban research · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsContext (archaeology)PoliticsAgricultureSociologyInvisibilityState (computer science)InequalityPolitical sciencePolitical economyGender studiesGeographyLawArchaeology

Abstract

fetched live from OpenAlex

Employing a feminist “post”-colonial analysis, this text reflects on the invisibility of racialized agricultural labourers, and the ways in which temporary foreign worker programs reinscribe racial hierarchies and historical functions of empire. In establishing a context for present-day exclusions, I examine emerging research on Chinese farming in what is now Vancouver, roughly from the completion of the Canadian Pacific Railway (1885) to the end of the “exclusion era” (1947). Offering a counter-narrative to the assumption that ‘local food’ is inherently more ethical and sustainable, this analysis interrogates idealized notions of local food production. Highlighting continuities between historical racial hierarchies and contemporary state-sanctioned exclusions, I assert that inequalities are not coincidental by-products of the agricultural system but are central to Canadian food production. The existence of temporary foreign worker programs is the latest solution to critical “cheap” labour shortages and the permanent demand for this labour in the agricultural sector.

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)0.011
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.114
GPT teacher head0.355
Teacher spread0.241 · 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.

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

Citations2
Published2015
Admission routes3
Has abstractyes

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