Interprofessional non-technical skills for surgeons in disaster response: a literature review
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
Natural disasters impose a significant burden on society. Current disaster training programmes do not place an emphasis on equipping surgeons with non-technical skills for disaster response. This literature review sought to identify non-technical skills required of surgeons in disaster response through an examination of four categories of literature: "disaster"; "surgical"; "organisational management"; and "interprofessional". Literature search criteria included electronic database searches, internet searches, hand searching, ancestry searching and networking strategies. Various potential non-technical skills for surgeons in disaster response were identified including: interpersonal skills such as communication, teamwork and leadership; cognitive strategies such flexibility, adaptability, innovation, improvisation and creativity; physical and psychological self-care; conflict management, collaboration, professionalism, health advocacy and teaching. Such skills and the role of interprofessionalism should be considered for inclusion in surgical disaster response training course curricula.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 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