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
Bibliographic record
Abstract
Abstract Since the 1970s, in the Philippines, 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 Baguio City's new Harrison Road Night Market 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 Harrison Road, a main city artery, Baguio City's previously marginalized street vendors visibly assert their legitimacy and rights to livelihood in arenas of power from which they have been largely excluded.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.050 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".