Bibliographic record
Abstract
Leadership in the hospital sector has been characterized by a state of change since the early 1960s. Heavily influenced by the emergence of the principles of the Canadian health system, leadership at the time was shaped in many ways by the post-World War II construction boom. It was significantly impacted by the developing professional unions in the clinical professions and the resultant and conflicted labour relations of the 60s and 70s. The environment of leadership was in those days predominantely a transactional style, and was frequently confrontational. But the many leaders of Canada's hospitals were also characterized by a caring cadre of often-colourful personalities who challenged, debated and strove to ensure adequate funding and a harmony among the diverse clinical, community and political interests confronting their organizations. The major restructuring of an ever-more expensive health system has set the stage for substantial innovation and reform as the leaders in the system integrate new technologies, personalized pharmaceuticals, devolving scopes of practice and entrepreneurial opportunities related to incentive funding. The development of leadership competencies such as the Leaders for Life framework across the health workforce will be essential to successfully guide our health delivery system into the future.
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 | 0.016 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.010 | 0.022 |
| Scholarly communication | 0.016 | 0.014 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.015 | 0.024 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".