Three Decades of Professional Nursing Leadership: The Impact of the Community Health Nurses of Canada
Bibliographic record
Abstract
In 1987, six Canadian community health nursing leaders recognized the need for a national body to represent and advocate for the diverse practice of community health nursing and the health of communities. Their vision and action three decades ago resulted in the formation of the Community Health Nurses of Canada (CHNC), a national professional nursing association. This paper will describe the development of CHNC from an early vision to a recognized centre of excellence for community health nursing in Canada. Significant milestones described include developing structures to advance excellence in practice, creating and acting on a vision, advancing leadership capacity, supporting professional development and promoting best practice, advancing community health nursing in undergraduate education and advocating for health policy.
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.033 | 0.014 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 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".