The role of therapeutic recreation in long-term care culture change: a comparative case study from Alberta, Canada
Bibliographic record
Abstract
Historically, long-term care (LTC) homes have operated under a biomedical model, with a fairly institutional atmosphere. The culture change movement has challenged this approach, advocating for person-centred care and more homelike environments. We conducted a multi-site comparative case study at three rural LTC homes to examine the role therapeutic recreation (TR) services play in contributing to culture change and in creating a homelike environment in LTC. Three factors emerged that enabled TR staff to actively contribute to LTC culture change: 1) prioritizing the value of leisure experiences for improved quality of life, 2) being valued, supported, and empowered by management, and 3) being welcomed as essential and collaborative members of the care team. We discuss the implications of these findings and conclude with several recommendations for how LTC homes can better utilize TR services to improve quality of life and advance the aims of the culture change movement.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.029 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".