The Antecedents and Consequences of Empowerment
Bibliographic record
Abstract
Kanter argues that empowerment has many positive consequences. Not only do empowered employees work more effectively, but they are more likely to express positive attitudes toward their organization. Although support for Kanter's model has been found in several studies of nurses, these studies have not explored the possibility of gender differences. Do men in nursing have the same access as women do to structures that lead to empowerment? Moreover, do men and women react differently to empowerment? To answer these questions, we sampled 412 nurses (195 men; 217 women) about their access to empowerment structures and their trust and commitment to their organization. We found no support for the suggestion that male nurses are less empowered because of their "token" status. Also, we found that the model predicted the responses of men and women equally. Our results suggest that empowerment provides an excellent way of enhancing organizational attitudes for both men and women.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".