Preparing the Community Health Nursing Workforce: Internal and External Enablers and Challenges Influencing Undergraduate Nursing Programs in Canada
Bibliographic record
Abstract
The Canadian Schools of Nursing (CASN) task force on public health was mandated to facilitate Schools of Nursing to provide students with the foundation required to meet the Canadian Community Health Nursing Standards of Practice. This paper reports on an environmental scan that explored barriers and enablers influencing the integration of community health nursing content in baccalaureate education in Canada. Data was collected over three phases including: 1) a pan-Canadian survey of nursing schools, 2) completion of open-ended workbook questions by educators, policy makers, administrators, and community health nursing managers attending a pan-Canadian symposium on community health nursing, and 3) recorded notes from the symposium. The response rate for the survey was 72.5% (n = 61 schools) and approximately 125 stakeholders participated in symposium activities. Internal and external enablers and challenges as well as recommendations for practice and education are presented.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".