Evaluation of Menu and Food Service Practices of Long-Term Care Facilities of a Health District in Canada
Bibliographic record
Abstract
Abstract The purpose of this study was to evaluate menus and food service practices provided to elderly in 18 long-term care (LTC) facilities in Saskatoon, Saskatchewan. The study methodology included nutrient analysis of menus and a survey examining food service practices. LTC facility menus did not meet the recommended levels (< 100% Recommended Dietary Allowance [RDA] or Adequate Intake [AI]) of vitamin E, vitamin C, niacin, vitamin B6, folate, magnesium, zinc, calcium, and vitamin D. Energy was 88% of recommended for males 50-74 y. Dietary fibre content was low (14 g/day) for both gender groups. LTC facility menus did not provide the recommended number of servings of vegetables and fruit, and grain products compared to Canada's Food Guide to Healthy Eating. Snacks provided by LTC facilities covered the four food groups, but were not consistently offered to all residents.
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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 | 0.002 | 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 | 0.000 | 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".