Impact of COVID-19 on Relationship-Centred Residential Dining Practices
Bibliographic record
Abstract
Abstract This study describes changes in dining practices and provider perspectives on meal-related challenges due to the coronavirus disease (COVID-19) pandemic. An online survey was disseminated between July and September 2020 through stakeholder networks and social media with 1,036 respondents. Altered dining practices included residents eating in rooms (54.3%), spacing residents in common areas for meals (69.3%), and disposable dish use (44.9%). The most common mealtime challenges were reduced socializing opportunities at meals (29.3%), inadequate staffing (22.8%), reduced family/volunteer help (16.7%), and assisting residents to eat (10.5%). Many participants (72.2%) felt conflict balancing safety and relationship-centred care. Geographic region, home size, building age, respondent’s job title, pre-pandemic relationship-centred practices, and mealtime satisfaction, and some pandemic-initiated practices were associated with mealtime challenges and feeling conflicted in binary logistic regression analyses. Considering trade-offs between safety and relational aspects of mealtimes during the pandemic is crucial.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".