Violence Against Female Student Nurses in the Workplace
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
Violence, harassment, and bullying in the workplace are not new phenomena. However, the growing epidemic of violence in the health sector workplace is raising great concern among workers, employers, and governmental agencies across Australia, Canada, the United Kingdom, and the United States. National and international literature reveals that the prevalence of violence experienced by graduate and undergraduate female nursing students in the college and workplace settings is largely unknown. Moreover, the prevalence of violence is now recognized as a major health priority by the World Health Organization, the International Council of Nurses, and Public Services International. Even so, the number of nursing personnel affected by this problem continues to rise. A modified self-report online survey was used to ascertain the level of violence experienced by nursing students in their clinical placements. One hundred percent of those surveyed had experienced some type of workplace violence and the perpetrators were most often other staff members followed closely by patients. The American Association of Colleges of Nursing Position Statement recommends that all faculty prepare nurses to recognize and prevent all forms of violence in the workplace. This research seeks to develop practical approaches to better understand and prevent this global public health issue.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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