Differences in Autonomy and Nurse-Physician Interaction Among Rural and Small Urban Acute Care Registered Nurses in Canada
Bibliographic record
Abstract
Canada, two groups of acute care nurses were compared on the work satisfaction variables of autonomy and nurse-physician interaction based on whether their workplace community population was rural (10,000 or less) or small urban (>10,000 but <100,000). For this analysis, the variable “size of community” served as a proxy indicator for hospital size. Kanter’s (1993) theory on the structure of power in organizations was the basis of the hypotheses. As predicted, the rural RNs (n=811) working in the smaller hospital organizations had significantly higher levels of autonomy [F(1, 1229)= 5.602, p<0.05] and higher levels of nurse-physician interaction [F(1, 1229)=27.78, p<0.001] than the small urban RNs (n=427). The findings suggest that the size of an organization or hospital setting does have an influence on the level of autonomous practice and interaction between nurses and physicians.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".