Spiritual leadership development: An exemplar protocol
Bibliographic record
Abstract
The nexus of spirituality and leadership infuses many leadership theories. However, there is a gap in our understanding regarding how organizations integrate spirituality with leadership development. This article makes a significant contribution to understanding the intersection of spirituality and leadership development by examining a specific facilitation protocol. It is a natural bookend to the seminal article titled “Spirituality for Business Leadership: Reporting on a pilot course for MBA’s and CEO’s” in which André shared his first attempt at such work. In contrast, the protocol discussed in this article has been refined by André’s continued leadership and practice in this area. As well, this protocol was designed and implemented as a formal leadership development initiative within an organization. In this paper, we begin with a literature review on spiritual leadership development: the intersection of spirituality, leadership and learning; the primacy of contemplative practice; and the importance of structure. Second, we describe a leadership development program design that explicitly integrates spirituality. Finally, we discuss the implications of this protocol for future practice and research on spiritual leadership development.
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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 | 0.087 | 0.131 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.102 | 0.023 |
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".