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
As residency training programmes around the globe move towards competency-based medical education (CBME), there is a need to review current teaching and assessment practices as they relate to education in orthopaedic trauma. Assessment is the cornerstone of CBME, as it not only helps to determine when a trainee is fit to practice independently, but it also provides feedback on performance and guides the development of competence. Although a standardised core knowledge base for trauma care has been developed by the leading national accreditation bodies and international agencies that teach and perform research in orthopaedic trauma, educators have not yet established optimal methods for assessing trainees' performance in managing orthopaedic trauma patients. This review describes the existing knowledge from the literature on assessment in orthopaedic trauma and highlights initiatives that have recently been undertaken towards CBME in the United Kingdom, Canada and the United States. In order to support a CBME approach, programmes need to improve the frequency and quality of assessments and improve on current formative and summative feedback techniques in order to enhance resident education in orthopaedic trauma. Cite this article: Bone Joint J 2016;98-B:1320-5.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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