“Leisurely Dining”: Exploring How Work Organization, Informal Care, and Dining Spaces Shape Residents’ Experiences of Eating in Long-Term Residential Care
Bibliographic record
Abstract
Mealtimes are among the busiest times in nursing homes. Austerity measures resulting in insufficient staff with heavy workloads limit the amount of time available to assist residents with eating. Within a feminist political economy framework, rapid team-based ethnography was used for an international study involving six countries exploring promising practices and also for a study conducted in one Canadian province in which interrelationships between formal and informal care were investigated. Data collection methods included interviews and observations. In addition, dining maps were completed providing a cross-jurisdictional comparison of mealtime work organization, and illustrating the time spent assisting residents with meals. Dining maps highlight the reliance on unpaid care as well as how low staffing levels leave care providers rushing around, preventing a pleasurable resident dining experience, which is central to overall health and well-being.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".