Bibliographic record
Abstract
BACKGROUND: Research on improving academic leadership in nursing is paramount to increase new faculty support, improve retention, and ensure a high academic standard for the next generation of nurses. However, an operational definition of academic leadership in nursing is missing from the literature and a common language is needed to cohere research. AIM: This study aimed to analyze the concept of academic leadership in nursing to inform future research on the factors that affect nursing faculty career development, job satisfaction, and retention. METHODS: A concept analysis using Walker and Avant's eight-step method. DATA SOURCES: Five databases were searched (CINAHL, PubMed, OVID Emcare, ERIC, and Google Scholar), with 16 articles identified for analysis. The term "academic leadership" was used in a title search with "nursing" as a keyword. RESULTS: Three main attributes were found: administrator, mentor, and nurse. The consequences of academic leadership in nursing are improved work environments, increased job satisfaction, and decreased faculty turnover. Capabilities essential for academic leaders in nursing include vision, risk-taking, excellent communication, mentoring, succession planning, advocacy, and education. CONCLUSION: An academic leader in nursing is a transformational leader who encourages, empowers, and motivates team members to grow, develop and thrive.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".