A Model for Nurse Practitioner Regulation: Principles Underpinning a Three-Registration Category Approach
Bibliographic record
Abstract
The issue of professional regulation of advanced nursing practice is one of the most controversial in the area of nursing regulation today. The controversy affects the roles and scope of advanced practice as well as education requirements. Nurse practitioner (NP) practice is one kind of advanced nursing practice receiving attention currently, with a view to developing consistent educational and regulatory approaches. Consistency is needed to enhance the mobility and flexibility of these important healthcare provider resources in time of shortages. This paper describes how the regulatory body in British Columbia decided to register only three categories of NP: family/all ages, adult and pediatrics. It describes the state of NP regulation when the work began, the consultation process used in coming to this decision and the principles underlying the decision. Regulators, educators and administrators may benefit from understanding the issues and reasoning presented. Literature to guide this work was lacking, a gap this paper addresses to help inform decision-making in other settings and contexts. Dialogue about this approach may facilitate movement towards consistent approaches to the regulation, education and deployment of NPs in Canada and elsewhere.
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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 | 0.049 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.012 | 0.047 |
| Scholarly communication | 0.016 | 0.014 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.015 | 0.009 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".