Leading and Learning From Inside Out: Insights from Meditative Inquiry
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
This article explores our modern world and our role in shaping collective experiences. By our thoughts, choices and behaviours (our character), we influence our shared reality. Higher education has an imperative responsibility to engage students ethically and develop their character. I offer a teaching metaphor and case study to meaningfully develop students’ self-awareness of character via an undergraduate leadership course. I employed the ‘seed’ metaphor to illustrate how nurturing students’ self-awareness and agency mirrors the growth of a seed within a carefully cultivated ecosystem. Each contemplative practice (character development) intertwined with leadership content (competence and confidence), serves as essential nourishment, fostering interconnected growth, resilience, and transformation within students and in their broader interactions in our learning community. This curates the life-long development of an ethically impactful leadership style essential for handling complex challenges, leading others, and making sound decisions (Strum et al., 2017). The study highlights how a holistic pedagogical approach cultivates leadership qualities, inspires character growth, and encourages students to engage meaningfully with themselves, their peers, and their communities. Faculty who foster environments conducive to ethical leadership and societal well-being serve to better ourselves, our classrooms, and our communities.
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 | 0.000 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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