Bibliographic record
Abstract
During the First World War the Canadian Expeditionary Force recruited a total of 260 battalions for overseas service. Yet the four Divisions of the Canadian Corps maintained only 48 battalions at the front. The vast majority of the battalions sent to England were either broken up to supply reinforcements for units already at the front or reconstituted for duties such as forestry or pioneer work. But all these battalions went through the process of recruiting, training, and working up in Canada before going overseas, thereby developing their own unit personality, traditions, and esprit de corps. These were all lost when the unit was broken up. The drum, of course, had been a long standing part of the military retinue, used for beating time on the march and the drum corps formed an important part of a unit’s musical ensemble. The drums bore the unit’s crest and, stacked on top of one another, occupied a prominent place on such special unit occasions as church parade and the presentations of the colours. Thus, the drums were an important component of a unit’s symbolism and sense of tradition. Any that survive from the disbanded battalions would constitute a tactile reminder of fervently developed, but ultimately lost, traditions and esprit de corps. In June the CWM took possession of a drum from one of these lost units, the 207th Battalion, which is interesting not only for what it represents in itself, but for the poignant story associated with the drummer who originally played it—William Garvin.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.018 | 0.006 |
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".