Relationships among authentic leadership, manager incivility and trust in the manager
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose This study aims to examine the relationships among authentic leadership of managers and new graduate nurses’ (NGNs) experience of manager incivility and their degree of trust in their managers. Design/methodology/approach A secondary analysis of data using a non-experimental, correlational design was undertaken. From 2012 to 2013, 3,743 surveys were mailed to NGNs eligible for the study, and 1,020 returned completed questionnaires for a response rate of 27.3 per cent. The hypotheses were tested using hierarchical multiple linear regression. Findings Authentic leadership had a negative relationship with manager incivility, which in turn was negatively related to trust in the manager, and overall the model accounted for 59.9 per cent of the variance in trust. Authentic leadership was positively associated with trust in the manager. Originality/value Findings supported that authentic leadership may be an effective approach to enhance manager–nurse interactions because authentic managers are less likely to display uncivil behavior, which diminishes trust. Findings may be useful to inform the development of positive and respectful work environments and the everyday practice of nurse managers.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it