Community Health Clinical Education in Canada: Part 2 - Developing Competencies to Address Social Justice, Equity, and the Social Determinants of Health
Bibliographic record
Abstract
Recently, several Canadian professional nursing associations have highlighted the expectations that community health nurses (CHNs) should address the social determinants of health and promote social justice and equity. These developments have important implications for (pre-licensure) CHN clinical education. This article reports the findings of a qualitative descriptive study that explored how baccalaureate nursing programs in Canada address the development of competencies related to social justice, equity, and the social determinants of health in their community health clinical courses. Focus group interviews were held with community health clinical course leaders in selected Canadian baccalaureate nursing programs. The findings foster understanding of key enablers and challenges when providing students with clinical opportunities to develop the CHN role related to social injustice, inequity, and the social determinants of health. The findings may also have implications for nursing programs internationally that are addressing these concepts in their community health clinical courses.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".