Public housing tenants’ perspective on residential environment and positive well-being: An empowerment-based <i>Photovoice</i> study and its implications for social work
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
Summary Although tenants of public housing face numerous challenges, recent research suggests they can experience positive well-being. The study examines a group of tenants’ perspective on structures of their residential environment that influence their positive well-being, using the empowerment-based Photovoice method. Ten peer-researchers took pictures, participated in facilitated group discussions, and performed a thematic analysis. The study presents themes emerging from the pictures, as well as concrete outcomes of implementing such a method in a public housing setting. Findings Six themes emerged from the pictures taken: (1) a pleasant home, inspiring pride; (2) variety of local resources; (3) mutual support and social participation; (4) control over life situations; (5) social, leisure and growth opportunities; (6) beneficial access to nature. The findings reveal the nuances of tenants’ relationships with their residential environment, which has the potential to support their emotional, psychological, and social well-being. However, several needs for improvement were also identified, as well as avenues for tenants to take more power over these negative situations. The Photovoice method appears to have produced positive outcomes in terms of environmental improvement and tenant empowerment. Applications The study suggests social workers should bear in mind the multifaceted person–environment relationship of the people they work with. It also emphasizes that public housing tenants can play an active role in making their environment a place where they can flourish. The Photovoice method is highlighted as a useful tool for social work community practitioners to support tenant empowerment.
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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 | 0.001 | 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 | 0.004 | 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