housing provision alternatives in Brazil, Hong Kong and the United Kingdom
Bibliographic record
Abstract
In developed countries, such as the UK, France, Sweden and Canada, or even in less developed countries, such as India, Malaysia and China, there are systems of housing provision that include social rental housing as one of their major pillars. For different reasons, a mixed housing provision system is necessary, be that to promote homeownership or to promote rental housing – in private or public hands. In Brazil, however, there has been little effort to establish a proper public social rental housing system. This is less because of economic restrictions than for political and ideological reasons. This paper discusses two systems of housing provision in Brazil – that of the Armed Forces and the PAR (Programa de Arrendamento Residencial). Two other international social housing systems are analyzed – the one in the UK and the other in Hong Kong. The analysis of all four cases is here held in order to look for hints for the making of proposal for a social rental housing sector in Brazil. Several aspects were analyzed, especially their management formats, including repair and maintenance policies, that grant housing stocks longevity and resilience in the urban environment.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".