The HOUR is NOW Project: Fostering Leadership and Advocacy Qualities Amongst Nursing Students at Selkirk College
Bibliographic record
Abstract
Background: Unfair distribution of and unequal access to power, resources and opportunities has resulted in health inequities in Canada and around the world. Leading national and international organizations, including the Canadian Nurses Association (CNA) and the World Health Organization (WHO) have assembled evidence about how to reduce health inequities, articulating a need to reorient health services, invest in social determinants of health and transform our health care system. Collectively, nurses have the ability to make profound changes in the way we approach health and health care. In order to prepare nurses for this role, the manner in which students are educated must undergo transformation. Purpose: To foster leadership and advocacy qualities amongst nursing students at Selkirk College while simultaneously offering an important service to community. Method: The project offers health promotion gatherings that focus on education, personal skill development and fostering community involvement to a marginalized population, while concurrently providing a practice placement for nursing students. By focusing on health promotion and addressing social determinants of health, this project draws student’s attention to the root causes of the health challenges they encounter, including political, economic and social factors. Findings: Students develop a greater critical consciousness of social and health challenges, learn to think beyond traditional curative and clinical models; explore the role of nurse as provider, educator, facilitator and advocate; and learn to define client not only as individual and family, but population, community and society as well.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".