Advancing Population-Based Health-Promotion and Prevention Practice in Community-Health Nursing
Bibliographic record
Abstract
In Brief Community-health nursing practice is a pivotal aspect of present-day health reforms. In Quebec, Canada, the recent introduction of a population-based approach has entailed increasing the resources allocated to health promotion and disease prevention. Semistructured interviews were conducted with nurses and managers (N = 69) in an effort to understand how these new resources are reflected in nursing practice. Three classes of factors emerged as key conditions for change: contextual and historical, training and professional-development, and work-organization factors. The authors propose courses of action respecting these conditions to provide support for community-health nursing practices that incorporate a contemporary population-based approach. Semi-structured interviews were conducted with nurses and managers (N = 69) in an effort to understand how the new resources allocated to health promotion and disease prevention in Quebec, Canada, are reflected in nursing practice. Three classes of factors emerged as key conditions for change: contextual and historical, training and professional-development, and work-organization factors. www.advancesinnursingscience.com
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".