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 Many authors have called for a more humane and effective type of leadership. This article seeks to propose a research program on the content and process of integral leadership. This type of leadership has been exemplified by leaders known for their ethical and spiritual maturity, such as Nelson Mandela, the Dalai Lama, Mother Teresa, Eleanor Roosevelt, Martin Luther King, Mohandas Gandhi and Rachel Carson, among others, and by many men and women who have not achieved fame. Design/methodology/approach As this research requires a multi‐disciplinary, multi‐level and developmental approach, Ken Wilber's integral model is described and used as a frame for the research program, going beyond the limitations of current leadership inquiry. Findings After having presented both the critics offered on leadership research and the tenets of the integral model, the article proposes a research program articulated by the analysis of individual cases of this leadership pattern and the collective analysis of these cases. Further, it adopts a micro, meso and macro perspective through the use of three methodologies: interpretative biography, institutional analysis and historical inquiry. Originality/value This research program contributes to a developmental theory of leadership. Researchers will find in this paper an innovative and sounded research program which can generate results on both the practice and development of a type of leadership we badly need.
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 | 0.001 | 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) | 0.007 | 0.001 |
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