Measuring the Accessibility of Services and Facilities for Residents of Public Housing in Montreal
Bibliographic record
Abstract
For the residents of public housing, whose mobility is often reduced due to their precarious economic situation and their stage in the life cycle, the accessibility of services and facilities is a fundamental concern. Moreover, in Montreal, public housing is dispersed throughout the city. Accessibility thus varies greatly from one building to the next. The aims of this study are first to evaluate the accessibility of various urban resources using spatial data analysis in geographical information systems and then to develop an indicator of the accessibility of services and facilities for each public housing project using multivariate data analysis. The final results show that there are eight sub-types of landscape facilities around public housing buildings. Overall, half of the residents of public housing buildings have very good or good accessibility to services and facilities. Most of these residents live in public housing in some of the central or relatively central districts. On the other hand, for 45 per cent of public housing residents, there is a low level of access and 5 per cent have very limited service accessibility.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".