Forensic nursing and multidisciplinary care of the mentally disordered offender
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
Preface, David K. Robinson and Alyson M. Kettles. 1. Educational aspects of forensic nursing, Laurence A. Whyte. 2. Overview and contemporary issues in the role of the forensic nurse in the UK, Alyson M. Kettles. 3. The practitioner new to the role of forensic psychiatric nurse in the UK, Mick Collins. 4. A two-nation perspective on issues of practice and provision for professionals caring for mentally disordered offenders, Carol Watson. 5. The role of forensic nurses in the community, Christopher Cordess. 6. A forensic psychiatry perspective, Nigel Hopkins. 8. Transfer of case management from forensic social worker to forensic nurse, Jean Jones, Karen Elliott and Rachael Humpston. 9. Reclaiming the soul: A spiritual perspective on forensic nursing, John Swinton. 10. Autonomy and personhood: The forensic nurse as a moral agent, John Swinton. 11. The role of the forensic nurse in clinical supervision, Mary A. Addo. 12. Staff stress, coping skills and job satisfaction in forensic nursing, Kevin Gournay and Jerome Carson. 13. The role of the forensic psychiatric nurse in the Netherlands, Hans-Martin Don and Tom van Erven. 14. Forensic mentasl health care in Australia, Colin Holmes. 15. The role of the forensic nurse in Canada: An evolving speciality, Cindy Peternelj-Taylor. 16. The role of the forensic nurse in the USA, Anita G. Hufft. 17. The role of forensic nurses in Norway, Roger Almvik, Trond Hatling and Phil Woods. 18. The role of the forensic nurse in Germany, Alison Kuppen and Uwe Donisch-Seidel. 19. A global perspective in forensic nursing: Challenges for the 21st century, Virginia A. Lynch and Zug G. Standing Bear. 20. From a reactive past into the proactive new millennium, Alyson M. Kettles and David K. Robinson. Appendix. References. Index.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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