The Road Less Traveled: Nursing Advocacy at the Policy Level
Bibliographic record
Abstract
A frequent observation made about nursing advocacy at the policy level is its absence-or at least its invisibility. Yet there is a persistent belief that nurses will participate in advocacy at the societal level in matters of health. Although gaps exist in our knowledge about how to advocate at the policy level, the authors suggest that a number of other factors contribute to the disconnect between what nurses are expected to do in terms of policy advocacy and what they actually do. There are two main purposes in this article: to review the epistemological foundations of advocacy in nursing, and to present a discussion of other factors that limit our participation in policy advocacy. The authors discuss challenges within the discipline, in the practice context, and at the interface of the worlds of policy and nursing practice. The article concludes with a discussion of possible strategies for moving forward.
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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 | 0.038 | 0.084 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.022 | 0.042 |
| Scholarly communication | 0.042 | 0.043 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.037 | 0.028 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".