The Development of Nurse Practitioner Preparation beyond the Master's Level: What is the Debate About?
Bibliographic record
Abstract
The nursing discipline in the United States (US) has a history of creating various doctorates. One such degree, the Doctor of Nursing Practice (DNP), serves as an alternative to the traditional Doctor of Philosophy (PhD) degree for Nurse Practitioners (NPs) exploring career options. The availability of the DNP has sparked a debate within the profession: close attention to the issues is warranted for any school considering the development of a DNP program. However, some of these issues are not applicable, or apply differently to other contexts including Canada, where the highest level of education for an NP is a PhD. This article will review the history of doctoral education in both countries, compare the practice-focused and research-focused doctorates, discuss the issues of debate, and explore implications for NP practice. To fully inform the decision of the NP, we recommend further research to explore the need for a practice doctorate.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".