Social Housing with Community Support: A Study of the FOHM Experience
Bibliographic record
Abstract
This paper presents the results of an evaluation of the social housing program of the Fédération des OSBL d’habitation de Montréal (FOHM) (Montreal Federation of Housing Non-profit Organizations). This organization directly manages 325 units occupied by tenants who suf-fer from physical or mental health problems, contend with drug or alcohol addiction, or have AIDS. Triangulation [Denzin and Lincoln 1994] of the data was achieved using the following strat-egies: 33 tenants from three different housing units were interviewed using a survey question-naire. Focus groups were conducted with front-line staff as well as with administrators and external partners of the FOHM. Documentation of the literature on the social housing sector’s management and support practices augmented the picture. The findings indicate that the pro-gram has improved the quality of life of the ten-ants, although this improvement was more sig-nificant in some aspects of their lives than in others. Overall, the evaluation provides evidence of the need for this type of program as well as for better integrated social policies in the areas of housing, health and social services.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.019 | 0.011 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| 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".