Continuing Education for Nurses in Tianjin Municipality, the People's Republic of China
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
BACKGROUND: A descriptive survey examined continuing education experiences of hospital nurses working in Tianjin Municipality, the third largest municipality in The People's Republic of China. METHOD: Fourteen hospitals and two hundred nurses were selected randomly. RESULTS: Over two thirds of the nurses had attended continuing education events in the previous few years. Learning experiences included on-site and off-site workshops; associate degree courses; and teaching strategies of mostly lectures, films and videos. Major barriers discouraging nurses from participating included lack of time, cost, distance, and being denied permission to attend. Nurses working in rural and suburban hospitals reported less access to continuing education opportunities than nurses in urban hospitals. Ninety-six percent of respondents reported they had made changes in their clinical practice as a result of the continuing education activities. CONCLUSION: Strategies to reduce barriers to continuing education and future research examining the impact of continuing nursing education on clinical practice in China need to be developed.
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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 | 0.003 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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