Gender and professional identity in psychiatric nursing practice in Alberta, Canada, 1930–75
Bibliographic record
Abstract
This paper examines gender-specific transformations of nursing practice in institutional mental health-care in Alberta, Canada, based on archival records on two psychiatric hospitals, Alberta Hospital Ponoka and Alberta Hospital Edmonton, and on oral histories with psychiatric mental health nurses in Alberta. The paper explores class and gender as interrelated influences shaping the work and professional identity of psychiatric mental health nurses from the 1930s until the mid-1970s. Training schools for nurses in psychiatric hospitals emerged in Alberta in the 1930s under the influence of the mental hygiene movement, evolving quite differently for female nurses compared to untrained aides and male attendants. The latter group resisted their exclusion from the title 'nurse' and successfully helped to organize a separate association of psychiatric nurses in the 1950s. Post-World War II, reconstruction of health-care and a de-institutionalization policy further transformed nurses' practice in the institutions. Using social history methods of analysis, the paper demonstrates how nurses responded to their circumstances in complex ways, actively participating in the reconstruction of their practice and finding new ways of professional organization that fit the local context. After the Second World War more sophisticated therapeutic roles emerged and nurses engaged in new rehabilitative practices and group therapies, reconstructing their professional identities and transgressing gender boundaries. Nurses' own stories help us to understand the striving toward psychiatric nursing professionalism in the broader context of changing gender identities and work relationships, as well as shifting perspectives on psychiatric care.
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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 | 0.003 | 0.006 |
| Science and technology studies | 0.022 | 0.010 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".