Doing leadership development through mentoring in a social learning space: the case of the inaugural Leadership Learning Lab
Why this work is in the frame
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Bibliographic record
Abstract
Purpose The purpose of this paper is to describe and contextualize the processes of leadership development through mentoring in a Leadership Learning Lab (“the Lab”) and to explore the implications and applications of the Lab's approach as a social learning space. Design/methodology/approach The authors used a constructivist grounded theoretical approach and conducted semi-structured interviews with participants in the Lab, which operated out of a leadership center in a mid-sized Canadian business school. Findings The findings show that participants used their individual life experiences to practice leadership development through mentoring in a social learning space of prescribed uncertainty. The participants identified with becoming flexible, self-actualized leaders by learning to view their own experiences and those of their Lab partners through a leadership lens. Originality/value This study contributes to an understanding of the “doing” of leadership development in a social learning space and highlights three relational processes through which leadership development emerged through mentoring: rapport-building, democratization and reflection.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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