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Eating in the City: Fidel Gastro, Street Performance, and the Right to the City

2017· book-chapter· en· W2803962872 on OpenAlexaboutno aff
Edward Whittall

Bibliographic record

VenueThe MIT Press eBooks · 2017
Typebook-chapter
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeTruckAmbivalencePerformative utteranceEthnographyOrder (exchange)Right to the cityPoliticsSociologyGeographyEconomyPolitical scienceAestheticsEngineeringArtBusinessEconomicsPsychologyLawSocial psychologyAnthropology

Abstract

fetched live from OpenAlex

This chapter applies different concepts of radical street theatre and urban performance in order to theorize the ways in which food trucks form temporary communities in urban spaces through embodied, performative intervention. An ethnographic portrait of one of Toronto’s first and best-known food truck entrepreneurs, <italic>Fidel Gastro</italic>, is employed to demonstrate the precarious position food trucks hold within the political narratives governing public space in the city of Toronto, and the ambivalence food truck entrepreneurs display toward current configurations of urban market economies. David Harvey’s conception of the right to the city is then critically applied to this scenario in order to argue that food trucks harbor the potential to intervene in dominant urban narratives, allowing urban dwellers to assert the common right to change ourselves by changing our cities.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.968
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.052
GPT teacher head0.236
Teacher spread0.184 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2017
Admission routes1
Has abstractyes

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