The influence of disability-related dwelling adaptations on household dwelling satisfaction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Much existing housing stock is inaccessible and does not adequately meet the needs of households with disabled members. As a result, households must often seek dwelling adaptations to improve the accessibility of their existing housing. However, adaptations can be costly, particularly in the context of limited state subsidies. This study examines the extent to which households with disabled members in Ontario, Canada’s most populous province, have access to needed dwelling adaptations and the impact of these adaptations on dwelling satisfaction. Using data from the Canadian Housing Survey, we find that close to ten percent of Ontario households need one or more disability-related dwelling adaptations, but close to half of these households do not have all the adaptations they need. Households led by older adults are more likely to have needed dwelling adaptations, as are renter households in the social housing sector. With respect to dwelling satisfaction, households with needed adaptations reported similar levels of satisfaction to households without disabled members, while households who did not have needed adaptations reported significantly lower satisfaction with their dwellings. These findings signal the importance of improving state supports for dwelling adaptations as one part of a broader commitment to inclusive housing policy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it