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 In a context of great complexity, many authors have focused on the beneficial effects of leadership flexibility (Denison et al. , 1995), a capacity theoretically associated with mindfulness. The purpose of this paper is to better understand the relationship between mindfulness and behavioral flexibility in leaders. Design/methodology/approach Data were collected from two samples: 100 active leaders from diverse economic sectors and 62 students pursuing an executive MBA degree. Findings The results show that mindfulness is positively associated with the overall score for leader flexibility, and with its two dualities: self-assertive and directive vs collaborative and supportive, and long-term strategy vs short-term execution. Specifically, four of the five dimensions of mindfulness (nonreactivity, nonjudging, acting with awareness and describing) were positively correlated with the overall flexibility score. Practical implications The results suggest that by developing mindfulness, managers might be better able to adapt their leadership style to the demands of different situations. To that end, interventions based on mindfulness are worthwhile options for use within organizations, particularly in the context of leadership development programs. Originality/value While most models of leadership assume a linear relationship between certain leadership behaviors and performance, other voices suggest that effective leaders need to possess great behavioral flexibility so that they can adapt with agility to the multiple needs of the people and situations around them. Few studies have examined the factors that may play a role in leadership flexibility.
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 | 0.001 | 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) | 0.009 | 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