Bibliographic record
Abstract
The programme of benefits created in Canada for veterans of the Great War made a clear distinction between pensionable and non-pensionable ex-servicemen. In 1930, the discretionary War Veterans' Allowance was introduced. This was payable (subject to various eligibility criteria) to those, pensioners and non-pensioners alike, who were no longer employable. As the Great Depression of the 1930s deepened, the Canadian Legion, the country's largest veterans organisation, demanded further assistance. In response, in March 1935 the government appointed a committee of inquiry headed by Justice J.D. Hyndman. Based on its recommendations, the Veterans' Assistance Commission was established in 1936. But its recommendation that a national programme of assistance be provided for all out-of-work veterans with overseas service was refused by Ottawa. A limit was set on veterans' benefits in the 1930s that was acknowledged in the Veterans Charter, Canada's programme for those who served in the Second World War.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.069 | 0.017 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".