GENETICS OF AGING PHENOTYPES OVER THE LIFE COURSE: A POPULATION PERSPECTIVE
Bibliographic record
Abstract
Although leaders (e.g. managers, directors, administrators) can influence nursing practice, no studies have explored nurses' perspectives on how leaders influence Function Focused Care (FFC). Using a qualitative descriptive design, this study explored nurses' perspectives on how leaders influence nurses' ability to provide FFC. Thirteen focus groups were held with 57 staff nurses working in acute care hospitals throughout Ontario, Canada. Thematic analysis revealed two major themes: 1) Supporting leaders, which captures the potential for nurses to influence health system efficiency initiatives so that FFC is not undermined; and 2) supporting nurses, which captures the potential for leaders to enable FFC by stepping in during crises, mobilizing resources, and facilitating inter-professional team accessibility and information exchange. The findings can provide direction to leaders on how to facilitate FFC in the context of increasing pressure to improve efficiency of the health system.
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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 | 0.000 | 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 | 0.000 |
| 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".