The Soldier’s Return – the Canadian WWI Veteran Care System
Bibliographic record
Abstract
In Canada World War I has been called the Great War until now. As part of the British Empire, the Dominion of Canada entered the war when Great Britain declared war against Germany on 4th August 1914. During four years of this conflict over 600 000100 soldiers served in the Canadian army , among whom 66 000 were killed and app. 150 000 wounded. This article presents the most important challenges and problems connected with the process of creating a pioneer state veteran care system in Canada for veterans of Expeditionary Force fighting in the western front. In effect of efforts of the Ministry of Demobilization and Reintegration of Soldiers, an extensive (at that time) system of medical care, allowances, disability pensions and professional training for the disabled veterans was successfully established. Thus, Canada offered the highest standard of benefits offered to veterans and became a leader among other countries taking part in WWI. Nevertheless, imperfections of the pioneer system and an unfavorable economic situation in the first two years after the war and during the great crisis caused that before the outbreak of WWII, veterans had become a social group who often demonstrated their discontent.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.038 | 0.008 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.022 | 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".