The evolution of social work mental health practice: Patient records research at Selkirk Mental Health Centre (SMHC), 1947-1980
Bibliographic record
Abstract
Little is known about social work at psychiatric institutions in Canada. This research looks at patient records at Selkirk Mental Health Centre (SMHC) from 1947-1979 at Selkirk, Manitoba. Qualitative descriptive methods are employed to examine patient records (N=132) for the function and form of social work. A random selection of patient records at SMHC was performed where qualitative themes of social work related activities were identified and collected. Additional data included archival records of provincial and federal reports to provide context for the findings. Social work emerged from practice, becoming increasingly sophisticated as SMHC evolved and degreed social workers entered the field. Findings show that social work was an essential profession for SMHC to address a rising patient census as well as manage the transition to community located mental health care. While some social work related activities are performed by other staff, there is a qualitative difference when a social worker performs these. Findings also showed that social work has a relationship with severe and persistent mental illness as a population served at SMHC. Future historical research can benefit from this study as it includes a developed method for future patient record research. Future research could be in various professional disciplines as well as contribute to the growing knowledge around social work practice in Canada. Findings show that social work is a relevant and important role that has a historic connection in the field of mental health. This study contributes to the growing literature on the history of social work in Canada.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".