Exploring the implications for occupational therapy in relation to assistive-technology access and use in urban and rural Canadian communities
Bibliographic record
Abstract
This study investigated the lived experience of older adults living in urban and rural geographies to identify and describe important contextual differences and clinical implications for occupational therapists. Community-dwelling older adults (N = 42) were recruited for this study which employed semi-structured interviews conducted over 19 months. A thematic analysis was undertaken to develop our qualitative findings. Two themes emerged, (1) Links to occupational therapy (2) Assistive technologies awareness and use. Occupational therapists utilizing a person-centered approach that considers personalities, infrastructure, care partner engagement, and geographical context, are more likely to achieve the best outcomes. Rural older adults are an underserved population, while urban older adults experience infrastructure barriers to engage with assistive technologies. Occupational therapists can serve as advocates along with their clients to improve equitable access to assistive technology for all.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".