The Social Service Division of the Department of Veterans' Affairs : its origin, setting, and functions : a study based on the Division in the British Columbia district
Bibliographic record
Abstract
This study is primarily a descriptive account of the development and the work of the Social Service Division in its background setting of the Department of Veterans’ Affairs. It covers the historical development of the various Canadian departments of government concerned with the ex-serviceman's welfare from the beginning of World War I in 1914 to the present time. Information was drawn from annual reports and publications, mimeographed material of the Department of Veterans' Affairs, including statistical reports of the British Columbia Division, supplemented by interviews with staff members of the British Columbia District Office. The veterans' department was born of a military program and of the resulting physical need of wounded discharged soldiers for medical treatment. From this beginning developed the recognition of the value of a rehabilitation program for those physically handicapped because of war service. This need for rehabilitation was extended gradually until it covered all veterans of World War II and preceding wars. The coverage has moved steadily from the medical to the total welfare needs of the veteran. The Department has emerged as one of Canada's largest welfare agencies, veterans being segregated from their fellow civilians by legislation granting special benefits because of special risks. The role of the profession of social work in this setting has been exploratory. In the early 1920's, the social worker is described as being a nurse with special training; the profession of social work was not recognized. Today, only social workers trained in an accredited School of Social Work are accepted as employees of the Division. As far as direct case work is concerned, the Division operates largely as a referring agency although direct service is given in some instances. The Division is now experimenting with an in-service training program in social work concepts for Veterans' Welfare Officers and other Departmental personnel. This would make the social worker available to these persons on a consultative basis. In the present setting, the professional social worker has to prove the value of her work by performance.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".