Ophthalmology teaching in Australian medical schools: A national survey
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
To survey the current educational trends and methods of ophthalmology teaching in Australian undergraduate and postgraduate medical schools. Cross-sectional survey; National online survey distributed to Australian university undergraduate and post-graduate medical schools from November 2020 to March 2021. The survey encompassed 35 questions on student demographics, teaching methods, core theoretical topics, clinical skills, and assessment methods in ophthalmology. One survey per institution completed by the relevant individual responsible for curriculum. Total response rate of 90.48% (19 of 21 medical schools) was received with good representation across Australia. Ophthalmology rotations were required in 63.3% (<i>n</i> = 12), while 36.7% (<i>n</i> = 7) did not have mandatory terms. This compares favourably to the USA (16%), Canada (35.7%) and equivalent to UK (65%). 74% (<i>n</i> = 14) state ophthalmology is not a priority in the curriculum. All respondents reported student exposure to at least one clinical day in ophthalmology, with total teaching time ranging from less than six hours (36.9%), up to greater than two weeks (10.5%). Overall, only 31.6% reported utilisation of the International Council of Ophthalmology (ICO) curriculum in curricular development. Ophthalmology medical school teaching in Australia remains reasonable when compared internationally, but there is significant variation amongst universities. Incorporation of the ICO curriculum and development of shared resources would enhance medical graduates’ competence.
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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.594 | 0.001 |
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