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Record W4382775261 · doi:10.17645/up.v8i4.6478

The Forks Market: Cosmopolitan Canopy, Conviviality, and Class

2023· article· en· W4382775261 on OpenAlexafffundabout
Sonia Bookman

Bibliographic record

VenueUrban Planning · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsUniversity of Manitoba
FundersSocial Sciences and Humanities Research Council of CanadaMitacs
KeywordsScholarshipCosmopolitanismPublic spaceSociologyMulticulturalismSpace (punctuation)Openness to experienceMedia studiesPolitical scienceLawEngineeringArchitectural engineeringPolitics

Abstract

fetched live from OpenAlex

This article contributes to scholarship on the varieties of co-existence expressed in urban public life by providing an analysis of cosmopolitan conviviality as it surfaces in the branded public space of The Forks Market in Winnipeg, Canada. Recently renovated to create an intimate food hall, the Market is framed as a “commons” to encourage sociability among patrons. It is also configured as an inclusive space where an urban multicultural clientele can gather and share in a variety of foodways. Drawing on empirical observational research, and paying attention to the Market’s material affordances, I argue that Forks Market patrons co-perform a kind of cosmopolitan conviviality comprising two key components: (a) convivial sociability, and (b) cosmopolitan openness. Exploring tensions between inclusivity and exclusivity, however, I maintain that such conviviality is marked by ambivalence linked to the Market’s operation as both a “cosmopolitan canopy” and a branded space with an emphasis on consumption. In particular, I consider how the “look” of the Market conveys a sense of authenticity with an “upscale” design oriented toward middle-class tastes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score0.406

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.029
Scholarly communication0.0100.003
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.025
GPT teacher head0.238
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2023
Admission routes3
Has abstractyes

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