The Paradoxical Impact of Health Care Restructuring in Canada on Nursing as a Profession
Bibliographic record
Abstract
This article draws on the concept of "countervailing powers" to explore some of the contradictory effects of Canadian health care restructuring on nursing. The main focus is on key institutional powers in the nursing field, the major individual and collective strategies nurses have adopted in response to restructuring, and the ways in which the interaction between global and national market forces and the aggregate responses of nurses has created a severe shortage of nurses. The global shortage has led to a global competition for nurses' labor. This, along with government budget surpluses, has increased nurses' bargaining power, forcing governments and hospital managers to reverse nursing spending cuts; to offer more secure professional jobs, as opposed to casual work; to engage in aggressive, bonuses-laden recruitment of nurses, both within Canada and abroad; and, more generally, to rethink some of their restructuring strategies. However, since the bargaining power of nurses is largely market dependent and, as such, highly variable, there does not seem to be much potential for a sustained increase in the institutionalized power of the nursing profession.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.016 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".