Unsettling Urban Marketplace Redevelopment in Baguio City, Philippines
Bibliographic record
Abstract
Urban public marketplaces in Global South cities host a vibrant mix of retail and wholesale trade. Yet local‐to‐national governments increasingly promote sanitized and privatized urban spaces by privileging modern retail outlets (malls and supermarkets) and discouraging “traditional” livelihoods (street vending and market stalls). These political decisions dramatically disrupt the public market trade that has provisioned urbanites for decades. To address this issue, this article analyzes how retailers working in the renowned Baguio City Public Market, northern Philippines, sustain their livelihoods given that Baguio City's first phase of market redevelopment failed to meet their needs (e.g., insufficient store size and banning enterprises). Problematizing legal–illegal work and urban public space use, I argue that public marketers engage everyday and insurgent public space activism to protest their disenfranchisement. Although marketers generally have achieved selected demands, some have benefited more than others. Thus, I suggest that we consider not only marketers' resistance but also the uneven political landscape within which they work—the power differentials among and between marketers and the state. The extent to which variously positioned marketers can realize livelihood rights highlights the unpredictability of civic engagement and “extralegality” when competing ideologies clash over access to urban public space, legal–illegal practice, and appropriate urban provisioning .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".