A Delphi study forecasting management training and development for first‐line nurse managers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
First‐line nurse managers in the Canadian healthcare system are facing many challenges due, in large part, to reduced funding for healthcare since the early 1990s and the accompanying reorganization and downsizing of healthcare organizations that leave nurse managers with greater pressures to do more with less. A two‐round Delphi study was conducted with a panel of 41 Canadian nurse managers selected from hospitals, with at least 100 beds, in the province of Alberta. The Delphi study examined current and future management training and development (MTD) for first‐line nurse managers in light of their challenges and changing roles. The aim was to identify major recommendations for health care administrators and educators to prepare and support first‐line nurse managers effectively in the future. Findings underscored the need for management skills training, especially human resource management and budgeting skills. Given the resource constraints of healthcare organizations, cost‐efficient recommendations are presented for MTD.
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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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it