Integration of a community-based engagement model of service learning in a master’s entry nursing program
Bibliographic record
Abstract
The future of nursing will include a growing presence in communities with less focus on hospital health care. In response to the need for community health focused learning a five-course community engagement experience model was designed for the master’s entry to nursing practice students in a nursing program. Community Engagement, defined as the process of working together in a collaborative spirit with groups of persons who are affiliated by geographic, special interest, or health care needs (CDC/ASTDR, 2006), is an ideal way for nursing students to fully understand the assets and needs of communities and develop goals for the health care concerns of specific communities. The goals of community engagement are to establish trust between clients, agencies, and the School of Nursing, to then develop mutual goals, enlist needed resources and improve learning and health outcomes in the community. This article describes the leveled objectives and course structure for the implementation of the community engagement pedagogy and model.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".