Narratives of Social Justice: Learning in Innovative Clinical Settings
Bibliographic record
Abstract
The nursing profession has renewed its commitment to social and political mandates, resulting in increasing attention to issues pertaining to diversity, vulnerable populations, social determinants of health, advocacy and activism, and social justice in nursing curricula. Narratives from a qualitative study examining undergraduate nursing student learning in five innovative clinical settings (corrections, international, parish, rural, and aboriginal) resonate with these curricular emphases. Data were derived from focus groups and interviews with 65 undergraduate nursing students, clinical instructors, and RN mentors. Findings of this study reveal how students in innovative clinical placements bear witness to poverty, inequities, and marginalization (critical awareness), often resulting in dissonance and soul-searching (critical engagement), and a renewed commitment to social transformation (social change). These findings suggest the potential for transformative learning in these settings.
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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 | 0.017 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.026 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.003 | 0.005 |
| 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".