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Record W2116271367 · doi:10.1111/ciso.12038

Remapping the Edge: Informality and Legality in the <scp>H</scp>arrison <scp>R</scp>oad <scp>N</scp>ight <scp>M</scp>arket, <scp>B</scp>aguio <scp>C</scp>ity, <scp>P</scp>hilippines

2014· article· en· W2116271367 on OpenAlexafffund
B. Lynne Milgram

Bibliographic record

VenueCity & Society · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsOntario College of Art and Design
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPrinciple of legalityLivelihoodGovernment (linguistics)RentingBusinessPaymentLegitimacyPoliticsFinanceLawPolitical scienceGeography

Abstract

fetched live from OpenAlex

Abstract Since the 1970s, in the P hilippines, increasing rural to urban migration and a lack of income‐generating employment have led to new forms of livelihood characterized by complex intersections of formal/informal and legal/illegal work and public space use. This paper uses B aguio C ity's new H arrison R oad N ight M arket to argue that both street vendors and city officials are complicit in reconfiguring informality and legality as urban organizing logics—unmapping and remapping urban public space and livelihoods to their mutual advantages—increased rental income for the city and viable jobs for vendors. To this end, street vendors use everyday and insurgent public space activism to secure their right to street‐based work. Simultaneously, the municipal government, variably tolerates, regularizes, or penalizes street trade as it gauges its potential to enrich city coffers. Such political‐economic manoeuvering by both parties, moreover, also reveals insights about the intersection of different forms of power—that between vendors and the city, between vendor associations, and among vendors themselves. By successfully securing government permission to establish a “legal” used clothing night street market on H arrison R oad, a main city artery, B aguio C ity's previously marginalized street vendors visibly assert their legitimacy and rights to livelihood in arenas of power from which they have been largely excluded.

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)0.030
metaresearch head score (Gemma)0.110
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity
Consensus categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.110
Meta-epidemiology (narrow)0.0050.004
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.008
Science and technology studies0.0100.007
Scholarly communication0.0050.007
Open science0.0120.005
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0000.001

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 head0.271
Teacher spread0.246 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2014
Admission routes2
Has abstractyes

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