A narrative-based exploration of aging, precariousness and housing instability among low-income older adults in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this article we focus upon low-income older adults’ lived experiences of aging, precariousness and housing instability/homelessness in Hamilton, Canada. Precariousness includes involuntary or incentivized displacement, as well as ‘health discounting’ in the face of rising shelter costs, inappropriate housing, periods of homelessness and involuntary housing immobility. The lived experiences of aging, precariousness and housing instability were collected through arts-based methodologies, whereby participants were given tablets to record their photos, videos and written diaries of their housing-related experiences. Additionally, participants took part in individual semi-structured interviews and participant observation in community-based settings. The recounting of participant experiences through a sensemaking frame allows for an exploration of the question of what it means to be ‘devalued’ as one ages to the extent that securing shelter is an overwhelming and stressful journey. Participant narratives provide compelling counter stories contesting popular notions that older adults will be taken care of as they age by the state or private savings. In sharing these stories, we are attempting to bring ‘recognizability’ to the experiences of aging, precariousness and housing/homelessness in order to contribute to the conditions through which low-income older adults’ experiences can be folded into policy co-design geared towards affordable housing.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it