Importing Problems: The Impact of a Housing Ordinance on Colombo, Sri Lanka
Bibliographic record
Abstract
Edward Said exposes how the U.S. stereotype of the Orient is constructed, hegemonized, and reproduced. The cities that the scholars talk about, the administrators administer, and the planners plan are also perceptions. This article investigates the construction of the perception of low-income areas in Colombo, Sri Lanka, as problems by its British colonial authorities in the 1910s–20s. It undertakes the cultural “unpacking” of this continuing colonial discourse. The article focuses on how the “concrete” living environments that had existed for many decades were re-presented as problems and as objective knowledge. It addresses a conflict and negotiation between two European groups: the British and British colonial authorities in Colombo. I argue that the tipping point of this transformation was the introduction of the Housing Ordinance of 1915 and that the transformation has more to do with British town planning discourses, of which the ordinance is a part, than with local conditions or indigenous or colonial viewpoints. However, this social production of urban problems must be seen within layers of power stemming from the imperial-colonial structures but mediated by regional officers who varied the practice of colonialism while maintaining the ideology of the “orientalist discourse.” It demonstrates that planners and authorities do not have a privileged vantage point to view the city, nor are their positions superior.
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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 | 0.001 | 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 | 0.013 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".