Bibliographic record
Abstract
Health-care students are frequently concerned and anxious about entering the mental health setting for their clinical placement. There are many situations in mental health clinical settings in which the student will witness or become involved in incidents that may challenge existing values, attitudes, ethics and provoke strong emotions in the student. This paper examines clinical critical incidents that have been identified and reflected on by a cohort of second-year student nurses while undertaking their mental health clinical practicum. Data were gathered from 260 critical incident reports and was sorted into three broad categories: (i) student description of incident; (ii) immediate emotional response of the student to the incident; and (iii) student thoughts and feelings' about the incident after the opportunity for structured reflection. The findings demonstrate a wide range of positive, but predominantly, negative experiences. Witnessing psychotic behaviour and incidents involving both actual and threatened violence and verbal abuse dominated the critical incidents with 52% describing one or both of these issues. To illustrate the range of student-identified critical incidents, verbatim examples of student work are included.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".