Older Public Housing Tenants’ Capabilities for Physical Activity Described Using Walk-Along Interviews in Montreal, Canada
Bibliographic record
Abstract
Older public housing tenants experience various factors associated with physical inactivity and are locally dependent on their environment to support their physical activity. A better understanding of the person-environment fit for physical activity could highlight avenues to improve access to physical activity for this subgroup of the population. The aim of this study was to evaluate older public housing tenants' capabilities for physical activity in their residential environment using a socioecological approach. We conducted individual semi-structured walk-along interviews with 26 tenants (female = 18, male = 8, mean age = 71.96 years old). Living in housing developments exclusively for adults aged 60 years or over in three neighborhoods in the city of Montreal, Canada. A hybrid thematic analysis produced five capabilities for physical activity: Political, financial, social, physical, and psychological. Themes spanned across ecological levels including individual, public housing, community, and government. Tenant committees appear important to physical activity promotion. Participants called for psychosocial interventions to boost their capability for physical activity as well as greater implication from the housing authority and from government. Results further support a call for intersectoral action to improve access to physical activity for less affluent subgroups of the population such as older public housing tenants.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".