Preparing Nurses to Promote Health-Enhancing Public Policies
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
Nursing leadership in policy development continues to be acknowledged as an important aspect of professional practice. The past decade of health services restructuring has led to a renewed emphasis on nursing’s role in health care policy; however, there is also a need to focus more broadly on policies outside the health care sector that influence health. A critical question is how to prepare nurses to influence the development of “healthy public policy.” This article describes shifts in thinking about policy in health and what this portends for nursing education. The authors argue that comprehensive preparation in public policy for nurses is an essential element of graduate education. The article describes faculty and student perspectives and experiences in the first offerings of the nursing graduate course, Promoting Health-Enhancing Public Policy. The article concludes with recommendations that may assist students to acquire knowledge regarding the policy process and approaches to policy advocacy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it