Correctional nursing and transformational leadership
Bibliographic record
Abstract
Transformational leadership (TL) is a highly discussed approach in the literature for many professions. Likewise, the TL approach continues to be explored in a myriad of nursing contexts to demonstrate its advantages for practice and client health. The tension between custody and care is particular to correctional nursing practice, such as the correctional priorities of safety and security that often override caring-focused nursing practice. Presented herein, is information relating to correctional nursing leadership as found in the minimal, available literature; and hypothetical examples of how correctional nursing leaders can use TL are provided. Measuring the influence of TL on practice and offender health can assist in determining if this approach is an appropriate "fit" for the correctional nursing context. The dearth of literature regarding correctional nursing leadership must be addressed to advance this subspecialty of nursing and promote offender health. The intent is not to argue that TL is the only applicable leadership approach for this subspecialty of nursing. Rather, introductory insight is offered regarding the suitability of TL in correctional nursing practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".