Public health nurses in Canadian schools: An opportunity to build capacity and nursing scholarship
Bibliographic record
Abstract
Public health nurses (PHNs) in Canada have the potential to significantly benefit the health and academic outcomes of school age children with its impact lasting into adulthood. Unfortunately, cuts in government funding over the years have diminished the presence of PHNs in schools and their ability to practice to their full scope. In the midst of a pandemic, having a strong nursing presence in schools may facilitate public health efforts and reduce the burden on teachers and administration. This discussion paper will explore the current role of nurses in Canadian schools in relation to school nurses in other parts of the world. An overview of the literature looking at the impact of the school nurse on school health (i.e., student health and academic outcomes) will be presented to provide evidence in support of rebuilding nursing capacity in Canadian schools. Finally, the Framework for 21st Century School Nursing Practice will be introduced as a viable nursing theory to facilitate rebuilding PHN capacity in schools.
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How this classification was reachedexpand
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 | 0.023 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.009 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".