Isaac Bayley Balfour, <i>Sphagnum</i> moss, and the Great War (1914–1918)
Bibliographic record
Abstract
Isaac Bayley Balfour was a systematist specializing in Sino-Himalayan plants. He enjoyed a long and exceptionally distinguished academic career yet he was knighted, in 1920, “for services in connection with the war”. Together with an Edinburgh surgeon, Charles Cathcart, he had discovered in 1914 something well known to German doctors; dried Sphagnum (bog moss) makes highly absorptive, antiseptic wound dressings. Balfour directed the expertise and resources of the Royal Botanic Garden, Edinburgh (of which he was Keeper), towards the identification of the most useful Sphagnum species in Britain and the production of leaflets telling collectors where to find the moss in Scotland. By 1918 over one million such dressings were used by British hospitals each month. Cathcart's Edinburgh organisation, which received moss before making it into dressings, proved a working model soon adopted in Ireland, and later in both Canada and the United States.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".