The relationship between lower leg lean tissue, functional index scores and triceps surae endurance in athletes
Bibliographic record
Abstract
The purpose of this study was to determine if staff perceive a mealtime management video to be a beneficial and useful training tool in long-term care (LTC) homes. An email invitation was sent to the Dietitians of Canada Gerontology Network inviting dietitians working in LTC homes to participate. A previously used and reliable 25-item questionnaire was used to assess sustained attention/mental effort, learner satisfaction, clinical experience/relevance, and information processing of the video. Dietitians were asked to show the video to LTC staff and distribute the questionnaire to staff after viewing the video. A total of 769 surveys were completed at 28 LTC homes across Canada. Eighty-seven percent (n = 637/736) of participants felt more knowledgeable after viewing the video and 91% (n = 669/738) found the video format easy for learning. Managers had a higher Likert scores (mean = 6.2 out of 7) than continuing care assistant (mean = 5.7, <i>P</i> = 0.02) and food service workers (mean = 5.5, <i>P</i> = 0.001) for the clinical relevance scales. No differences were found for age (χ<sup>2</sup> = 5.52, <i>P</i> = 0.60), gender (χ<sup>2</sup> = 2.65, <i>P</i> = 0.10), and size of home (χ<sup>2</sup> = 3.34, <i>P</i> = 0.34). Staff perceived the video to be useful for their work with residents living in LTC homes and it raised awareness of the importance of their roles at mealtimes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 |
| 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".