Unintended Consequences: Two Critical Events from the 1960s and '70s and Their Legacy for Nursing in Ontario
Bibliographic record
Abstract
In the late 1960s and early '70s, two key events occurred in Ontario that greatly affected the nursing profession: the unionization of the workforce and the move of diploma-granting nursing schools out of the hospitals (first to regional schools, then to the community colleges). At the same time, university nursing programs were undergoing significant changes. A paradigm shift occurred in which baccalaureate-prepared nurses were being educated for practice as well as for roles in education and administration. While all these activities had overall positive implications, there were unintended effects that continue to influence the profession today. These include the detachment of employers from clinical nursing education; fragmentation of the profession between front-line staff and the professional elites (proletarianization); rejection by front-line practitioners and college educators of nursing scholarship in favour of experiential and technical knowledge; and rivalry between college and university educators that has hampered the development of effective collaborations. For this study, interviews were undertaken with three informants, and their recollections were considered in the context of documentation from the College of Nurses of Ontario (the regulatory body), the Ontario Nurses Association (the union) and the Registered Nurses Association of Ontario (the professional association).
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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.058 | 0.028 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.009 |
| 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".