A prize, an award and Christmas crackers: season's greetings from the MJA
Bibliographic record
Abstract
elcome to the Christmas issue of the MJA, an annual tradition in which we publish unusual, witty, funny, and even astounding images, stories and non-serious studies in our "Christmas crackers" competition.All articles entered for this competition have undergone our usual rigorous publication process, and the best submission, as judged by our entire editorial team, wins a Christmas hamper.You may muse about the diagnosis for Santa's red cheeks 1 or chuckle at the collective nouns for your colleagues' specialties (perhaps even your own); 2 you might be enlightened by the thought of diagnosing Nutcracker syndrome, 3 or, if Tchaikovsky is not your beat, the effects of AC/DC on your surgical skills; 4 while if you are saddened by a rejected grant application, reading the Journal's most recent love letter may strike a chord.5 And the less said about hot dogs .6 The national and international interest in this light-hearted competition remains high; we thank everyone who contributed, and only regret we could not publish every entry.This year we are delighted to announce that the joint winners of our competition are Fancourt and her co-authors 4 and Rouse and Radigan, 6 while Ge and her colleagues achieved a distinguished third place. 1 Exciting advances in treating cardiac disease were reported by Khan and his co-authors in their report 8 about the remarkable impact of pre-hospital thrombolysis on outcomes for patients with ST-elevation (STEMI) myocardial infarctions in a New South Wales region (HuntereNew England) where large distances impede access to top quality treatment facilities.This is a model of care that should be adopted by other regions where timely primary percutaneous coronary intervention is not available for patients with a STEMI.We know that sepsis can present very subtly, but also that it is still associated with high mortality.Burrell and his colleagues 9 provided evidence that the SEPSIS KILLS program, implemented in 97 emergency departments across NSW, is reducing mortality, time in intensive care, and length of hospital stay for patients.The
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.037 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.012 | 0.018 |
| Insufficient payload (model declined to judge) | 0.031 | 0.020 |
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 source (direct Gemma or distilled Codex), 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".