Leading the Way: Implementing a Domestic Violence Assessment Pilot Project by Public Health Nurses
Bibliographic record
Abstract
The current healthcare system requires nurses to utilize innovations and effective leadership to achieve positive health outcomes for their patients. Public health nurses (PHNs) are in a unique position to utilize leadership and advocacy to increase the overall health and well-being of their clients. Domestic violence (DV) is a serious and widespread public health issue and PHNs have a crucial role in providing a preventative and coordinated approach to identifying and responding to DV. This article describes the process through which a group of front line PHNs took an active role in leading the development and implementation of a pilot project to address DV within their practice area. Through the development of a working group, a foundation for guidance was established to reinforce the role of the PHNs in advocating for the need to shift the focus of DV interventions from a reactive to a proactive approach. The DV assessment pilot project is an example for practice and a motivator for nurses to be leaders for change within their practice areas.
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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 | 0.052 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".