âMore a Medicine than a Beverageâ: âDemon Rumâ and the Canadian Trench Soldier of the First World War
Bibliographic record
Abstract
A couple of months before he was killed at Vimy Ridge, Private Ronald Mackinnon noted that he had to cut his letter to his father short because he heard “the joyful cry [of] ‘rum up’.” In the renches, everyone reacted when rum was issued. The rum ration was, in the words of Private E. Seaman of the 3rd Battalion, “the highlight of the day.” First Battalion infantryman Ralph Bell wrote that “When the days shorten, and the rain never ceases; when the sky is ever grey, the nights chill, and trenches thigh deep in mud and water; when the front is altogether a beastly place, in fact, we have one consolation. It comes in gallon jars, marked simply ‘S.R.D.’” That SRD was army issued Special Red Demerara rum.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.072 | 0.010 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".