Mindfulness as a Buffer of Leaders’ Self-Rated Behavioral Responses to Emotional Exhaustion: A Dual Process Model of Self-Regulation
Bibliographic record
Abstract
In this study we use dual process theory of self-regulation to develop a framework that outlines the mediating and moderating mechanisms explaining the relationship between leader emotional exhaustion and leadership style (transformational leadership and abusive supervision). Using Glomb et al.’s (2011) framework, we identify empathy and negative emotion as mediators that are of particular importance for leaders. In addition, we propose that leader mindfulness moderates these processes to improve leadership style. Using a time-lagged survey of leaders (N = 505) we found that leader empathy and negative emotion mediated the relationships between emotional exhaustion and leadership style. Furthermore, we found that leader mindfulness significantly moderated the indirect effect of leader emotional exhaustion on leadership style through negative emotion. However, leader mindfulness did not moderate the relationship between emotional exhaustion and empathy. Theoretical and practical implications are discussed.
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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 | 0.001 | 0.001 |
| 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) | 0.004 | 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".