Bibliographic record
Abstract
“Make a diagnosis, treat the condition and address the cause.” This simple approach, which applies to every clinical scenario, was taught to me by Dr. Clive Noble, an orthopaedic surgeon, the first President of the South African Sports Medicine Association, and one of my mentors. The “438” cricket game at The Wanderers Stadium, Johannesburg between South Africa and Australia. Australia set a world record target of 434 with Ricky Ponting tearing the South African bowling apart in scoring 164 of 105 balls. Miraculously, South Africa chased down the score eventually scoring 438 thanks to 175 off 111 by Herschelle Gibbs – allegedly batting with a hangover! I was the neutral match doctor and witnessed the ebb-and-flow of emotions in both teams as I moved between the change rooms as well as the ecstasy of the crowd. I hate “blow-your-own-trumpet” questions! Probably the translation of international consensus guidelines into an accessible programme for …
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.
How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".