Older adults experiences of transitioning to housing following homelessness from a perspective of ontological security: A secondary analysis
Bibliographic record
Abstract
Older adults are increasingly becoming unhoused. Once homeless, older adults are forced to navigate the transition to housing, an area which requires further research. We conducted a secondary analysis of qualitative research data using the theory of ontological security to explore the question: How do older adults experience trauma across the transition to housing following homelessness? During the analysis, we created a central essence 'When your entire world is upended you have to learn to live in a new reality', with three underlying themes: 1) My life got "pulled out from under me" and I am struggling to regain even footing; 2) I see reality clearly, "the system is broken"; and 3) The importance of social connection in rebuilding ontological security. Findings indicate the transition to housing presents an opportunity for older adults to rebuild ontological security, however only when they have access to housing that is good quality, deeply affordable, and accessible.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".