The experiences of recreation staff in Manitoba long-term care homes during the second wave of the COVID-19 pandemic
Bibliographic record
Abstract
Since the outset of the COVID-19 pandemic, long-term care homes within Canada have shifted the ways they operate and deliver vital care and quality of life opportunities for residents. While attention has increasingly been paid to the experiences of some care providers (e.g., nurses, personal support workers) to these pandemic-necessitated changes, decidedly less attention has been devoted to the experiences of those providing recreation opportunities to long-term care residents. This exploratory qualitative study was carried out to help address this knowledge gap. Using in-depth interviews, this study explored how the COVID-19 pandemic has affected six paid recreation staff working within long-term care homes within Manitoba, Canada during the province’s second pandemic wave (late 2020 to early 2021). Our research findings raise important questions about the ways recreation provision within long-term care could be impacted through and after the COVID-19 era.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".