All under one roof: understanding the benefits and barriers of small-scale housing co-ownership
Bibliographic record
Abstract
<p>Small-scale housing co-ownership is a form of shared ownership, often between friends or unrelated parties, which is gaining interest. This report draws on recent news articles, demographic trends, and literature in urban economics, housing and co-housing, to speculate on the growth and impacts of this trend. Qualitative interviews with industry stakeholders provide further insights on possible benefits, barriers, and solutions. Overall, the findings of this exploratory analysis suggest co-ownership may have broader market benefits for housing affordability, as well as individual benefits for housing accessibility, equity building, cost of living, and health and wellbeing, for example through reduced isolation, increased sense of community, or increased access to support. Barriers appear to exist, however, including mortgage accessibility and suitability, high housing costs, and the accessibility of specialized services. This paper finishes with a discussion of future research and recommendations that addresses the need for multi-sector, collaborative approaches.</p> <p><br></p> <p>Key words: co-ownership; affordable housing; community housing; housing finance; Toronto</p>
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".