Perceptions of Private Market Landlords Who Rent to Tenants of a Housing First Program
Bibliographic record
Abstract
The rental of housing units by landlords to participants in Housing First (HF) programs is critical to the success of these programs. Therefore, it is important to understand the experiences of landlords with having these individuals as tenants. The paper presents findings of qualitative interviews with 23 landlords who rented to tenants from a HF program located in a small city and adjoining rural area in eastern Canada and in which approximately 75 % of tenants had been housed for at least six consecutive months at 2 years in the program. Findings showed that landlords are motivated to rent to HF tenants for financial and pro-social reasons. They reported holding a range of positive, neutral, and negative perceptions of these tenants. They identified problems encountered with some HF tenants that included disruptive visitors, conflict with other tenants, constant presence in their apartments, and poor upkeep of units. On the other hand, landlords perceived HF tenants as being mostly good tenants who are similar to their other tenants. Implications for practice in the context of HF programs are discussed.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".