Exiting Homelessness, The Perspectives of Those Experiencing Housing Instability
Bibliographic record
Abstract
Background: For nearly thirty years homelessness has increased steadily in major cities around the globe, including Alberta Canada. Strategies adopted by the Canadian and Alberta governments to manage homelessness has yielded limited success. Signaling that Individuals experiencing homelessness are yet to be included adequately in search of solutions. Comprehension of homelessness phenomenon remains a challenge, as well as ending homelessness. The purpose of this phenomenological investigation study was to understand homelessness phenomenon from the experience of people who do not have homes and are experiencing housing instability. Methods: A total of 15 respondents were recruited. We performed in-depth, open-ended interviews for data collection. Following hermeneutic and phenomenological principles, interview data was retrieved, transcribed, summarized, described, and explained. Results: The prominent themes indicated a need to make housing, and utilities affordable, and rent and mortgage qualification criteria easy; a need for revising of credit bureau and criminal record policies; people at the shelters entitled to welfare or other benefits requires grace period of at least three months before withholding payment of their entitlements; vital skills training is necessary to secure a job, for financial management, for positive behaviour, and supervised spending. Shelter awareness is necessary, and making government support services efficient, and non-discriminatory. End all discriminations and provide 40hrs/week regular full-time jobs. Conclusion: The homeless, public, public health, and homeless service providers would benefit from the findings. Findings could help to stir homelessness reduction strategies to keep people out of the street in Canada.
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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 | 0.004 | 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 | 0.013 | 0.013 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".