Bibliographic record
Abstract
World Paediatric Anaesthetic meetings (held in relation to World Congress of Anesthesiologists) In 1984, David Steward (in Figure 1 , front row) and Seizo Iwai ( Figure 2 ) organized a meeting of pediatric anesthetists in Manila during the World Congress of Anesthesiologists. Following the meeting, there was a dinner at which John Zorab, then Secretary of the World Federation of Societies of Anaesthesiologists (WFSA), told the audience that if they wanted to set up a Paediatric Committee in the WFSA, they should request to do so immediately. A show of hands at this informal occasion showed a majority but not unanimous approval (because no aims and objectives had been defined for the committee). It was established at the WFSA Executive meeting the next day. Eventually, a multiauthored WFSA handbook on Pediatric Anesthesia, initiated by David Steward and finalized by Anneke Meursing, was produced some years later. Speakers at World Paediatric Anaesthesia Meeting in Melbourne, following the World Congress of Anesthesiologists in Sydney, April 1996. Front: M. Rawicz (Poland), C. Riquelme (Chile), A. Meursing #(the Netherland), D. Steward* (Canada); 2nd: C. Cote (USA), P. Limoges (Canada), G, Goresky* (Canada), F. Berry (USA); 3rd: C. da Silva(Brazil), P. Kempthorne (NZ), J. Moray (USA), D. Baines (Australia), F. Veckymans (Belgium); 4th: M. Yamashita, (Japan), P. Morris (UK), D. Hatch (UK), M. Marx (Uruguay), K. Brown* (Australia); 5th: S. Rajev (Russia), J. Overton (Australia), D. Pawar (India), I. Mackenzie (Australia). *Organized World Paediatric Anaesthetic meetings. #Organized 1st and 2nd FEAPA congresses. image Seizo (Jake) Iwai from Kobe, Japan. image
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 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".