Posted to Germany: Early Cold War Canadian Military Policy and Its Impact on One Family’s Experience
Bibliographic record
Abstract
In the summer of 1954, military surgeon Major Robert Elliott was posted to the British Military Hospital in Iserlohn, Germany, to provide medical care to Canadian soldiers, members of the 5,500-strong Canadian Brigade that had earlier been stationed there as part of Canada's commitment to the North Atlantic Treaty Organization. Like many other military families, Elliott's family had to remain behind until suitable accommodation for them could be found. Based on the letters that Elliott wrote home to his wife during their eight-month separation, this article provides a glimpse of how both old and new Canadian military policies during the early Cold War period had an impact on his work and his family. The Canadian government's decision to place the Brigade under British control reflected, in part, the long-standing attachment to Britain, but Elliott was often frustrated with how imperial/colonial relations played out in the hospital setting. And the military's initial reluctance to officially allow dependents to join their loved ones overseas, a new phenomenon in Canadian military life, undoubtedly contributed to his confusion and anxiety over when family quarters would finally be finished.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.108 | 0.024 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".