Diversity and homelessness: minorities and psychiatric survivors.
Bibliographic record
Abstract
This study explores the intersecting vulnerabilities in individuals who are homeless and have psychiatric challenges.Psychiatric survivors are often perceived as a homogeneous group with similar needs.However, survivors with further minority status are likely to have additional concerns and needs that may not be met by the current systems of care.People further marginalized by visible/cultural minority-group status, sexual orientation, and/or disabilities are being studied through this line of research.While possessing any of these vulnerabilities can increase the risk for poverty and homelessness, the interaction among them is poorly understood, particularly in relation to housing and homelessness. GoalsA key objective of the Homelessness and Diversity Issues in Canada initiative is to support policy-relevant research on homelessness in Canada as it relates to diversity.The project directly addresses this objective by examining the interplay between two issues related to diversity (mental illness and membership in a visible or cultural minority group) and homelessness.Students will have the opportunity to participate in research related to this understudied area.The participatory and interdisciplinary approach promotes the sharing of knowledge among researchers and the users of research. MethodsThe project has three stages: 1. Secondary analysis of data collected through the Community University Research Alliance on Housing and Mental Health.This data set includes interviews with 300 individuals conducted in 2004 and again in 2005.Of this sample, more than a quarter of respondents were interviewed in shelters.The data will be explored for racial/ ethnic differences.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".