Public housing, market rentals, and neighbourhood characteristics
Bibliographic record
Abstract
Market‐based rentals are increasingly prioritized as the tenure type through which to provide housing assistance to low‐income households: it is argued that public housing places tenants in neighbourhoods with concentrated poverty, while the private sector is purported to offer households the opportunity to live in locations with less disadvantage. We test this assumption through a case study of a Nova Scotian municipality. Using chi‐square tests to examine associations between housing type and neighbourhood deprivation, we find that while 47% of public units are located in places with high social and economic deprivation, one‐third of market rentals are located in neighbourhoods with similar characteristics. In addition, in looking at the location of lower‐cost market units in particular, we find limited differences in the neighbourhood characteristics in which these more affordable rentals and public housing are found. We argue for the importance of connecting policy and programming to place‐based community development and poverty‐reduction strategies to support low‐income households.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".