Declining Emergency Medicine publications from the UK: the glass is half empty and may be leaking
Bibliographic record
Abstract
Although I am usually a hopeless optimist, after reading the great work of Smith et al reporting trends in the publication of research in the emergency medicine literature over the past 20 years, I could not help but feel that this glass may be at least half empty.1 Reading Table 1, I was heartened to see that the number of publications has increased consistently almost across the board: numbers has grown steadily in the USA, Europe, Canada, Australasia and other countries. There was just one exception. While the number of publications from the UK increased steadily between 1997 and 2012, there seems to have been a sharp decline over the past 5 years, from 67 (10.5% of the international total) in 2012 to just 37 (5.7% of the total) in 2017. This seems concerning. What could have caused such a sharp reversal in the …
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.265 | 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".