Females and Housing First: An analysis of 18‐month outcomes in a randomized controlled trial
Bibliographic record
Abstract
Abstract The main objective of this research was to qualitatively examine the impacts of Housing First (HF) specifically on those participants who identified themselves as female in response to question asking what their gender was. The data analyzed are from a larger, muti‐site, randomized controlled trial. χ 2 analysis was used to compare the life changes (coded as positive, neutral, or negative) experienced by 64 females (42 HF and 22 TAU). An in‐depth qualitative analysis was conducted on 45 of these participants (23 HF and 22 TAU). Significantly more female HF participants reported making positive life changes from baseline to 18‐month than those in TAU. Relative to females in TAU, female HF participants reported a number of specific positive changes, including enhanced safety, improved recovery in mental illness, greater reductions in drug use, and individual changes. The implications of findings for strengthening HF programs to meet the unique needs of female participants 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 | 0.038 | 0.064 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".