Does it cost less to rehouse the homeless? A comparison of the costs of rehousing and homelessness
Bibliographic record
Abstract
La mise en place du projet « Housing First » dans plusieurs pays tels que la France et le Canada, a mis en évidence que permettre aux sans-abris d’obtenir un logement afin de les réinsérer dans la société pouvait parfois avoir un coût moindre pour l’État que le coût de les laisser dans la rue. Malgré une volonté politique belge et européenne de prévenir et de mettre fin au sans-abrisme, aucune étude n’a été réalisée sur son coût social en Belgique francophone, ne permettant donc pas d’évaluer les politiques mises en place et les changements éventuellement nécessaires. L’objectif de l’étude synthétisée ici est d’évaluer le coût social du sans-abrisme en Région de Bruxelles-Capitale, en tenant compte à la fois des coûts directs, mais aussi des coûts indirects, et de les comparer ensuite aux coûts associé à la sortie du sans-abrisme.
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 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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".