Increasing Understanding of Nursing Research for General Duty Nurses: An Experiential Strategy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Misconceptions and trepidation about research abound among practicing nurses. However, in light of the movement toward increasing accountability to consumers and the concurrent drive toward evidence-based practice, the need for nursing research can no longer be ignored. Innovative approaches to augment nurses' training and education in research and evidence-based practice must be incorporated into continuing education programs. The Nursing Research and Evidence-Based Practice Committee of a large tertiary care teaching hospital in Winnipeg, Manitoba, Canada, developed a series of opportunities for staff nurses to participate in research projects and have ongoing exposure to the steps in the research process. The Great Canadian Cookie Experiment was an opportunity to participate in quantitative research. Qualitative data from patients' thank you cards were analyzed in an interactive fashion during luncheon seminars held during Nursing Week in 2 subsequent years. A survey of nurses who participated in the luncheon seminars indicated an overall increase in their knowledge about qualitative research methods and an appreciation for participating in the process of nursing research. Continued visibility of nursing research will contribute to changing nurses' attitudes toward fostering an evidence-based approach to clinical practice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it