Assaulted and Unheard: Violence Against Healthcare Staff
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
Healthcare workers regularly face the risk of violent physical, sexual, and verbal assault from their patients. To explore this phenomenon, a collaborative descriptive qualitative study was undertaken by university-affiliated researchers and a union council representing registered practical nurses, personal support workers, and other healthcare staff in Ontario, Canada. A total of fifty-four healthcare workers from diverse communities were consulted about their experiences and ideas. They described violence-related physical, psychological, interpersonal, and financial effects. They put forward such ideas for prevention strategies as increased staffing, enhanced security, personal alarms, building design changes, "zero tolerance" policies, simplified reporting, using the criminal justice system, better training, and flagging. They reported such barriers to eliminating risks as the normalization of violence; underreporting; lack of respect from patients, visitors, higher status professionals, and supervisors; poor communication; and the threat of reprisal for speaking publicly. Inadequate postincident psychological and financial support compounded their distress.
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 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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