Developing an Orientation Toolkit for New Public Health Nurse Hires for Ontario's Changing Landscape of Public Health Practice
Bibliographic record
Abstract
In 2008/2009, the Orientation: Transition to Public Health Nursing Toolkit was developed to enhance the integration of new hires into public health nursing practice in Ontario and to increase retention of these hires. The changing landscape of public health in Canada, such as the introduction of new standards and competencies, presents challenges to leaders orienting staff to public health nursing. The toolkit was designed to provide a standardized general orientation, involving a broad range of public health knowledge and issues. Through the use of technology, a virtual network of public health nurses, educators, managers, senior nurse leaders and nursing professors from various areas of Ontario designed, implemented and evaluated the toolkit. Three modules were developed: foundations of practice (e.g., core competencies, national and provincial standards, public health legislation), the role of the public health nurse, and developing partnerships and relationships. Evaluations demonstrated that the toolkit was useful to new hires adjusting to public health nursing. It has had significant uptake within Canada and is well accepted by public health nursing leaders for use in Ontario's health units.
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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 | 0.012 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".