Housing first for people experiencing homelessness in Brazil and worldwide: an integrative literature characterizing similarities and differences
Bibliographic record
Abstract
The Housing First (HF) strategies spread in countries in Europe, Australia, and Canada, comparing the effectiveness to traditional shelter for people experiencing homelessness (PEH). In Brazil, HF strategies were born for PEH with substance use disorders. This study compared Brazil's adoption of the HF model with international experiences. An integrative review was performed based on international peer-reviewed literature on HF for PEH available in Medline/PubMed, Virtual Health Library, PsycINFO, and Scielo. A search of HF strategies in Brazil was conducted to compare with the international strategies identified in the narrative review. Forty-five research articles were selected. The main findings and determinants of success of the HF strategies in the narrative review were on housing stability, quality of life, substance use, social connectedness, food safety, income and employment, intersectorality, financing cost synergies, and fidelity to the original model. The ten Brazilian HF strategies had similarities regarding the harm reduction strategy, housing stability, intersectoral policies, and strengthening social ties. Differences were in insertion in the labor market strategies, food safety, and fidelity to the original model. State policy is needed to rigorously address the urgent needs of PEH and evaluate their impact.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".