Reclaiming the Wisdom of Leadership Through <i>Meraki</i>, <i>Metanoia, and Metis:</i> Meditations on Spiritually Regenerative Educational Imaginaries
Bibliographic record
Abstract
De/uncolonizing educational visions in the context of insistent and persistent ecological violence is an urgent task, one requiring profound shifts in thinking, being and knowing. Meraki is a Greek word denoting something done or undertaken with all of one's soul. Metanoia is also a Greek word signifying a deep shift in one's way of life resulting from a profound change of heart and worldview. Metis is a figure in Greek mythology known for wisdom and deep thought, but the word has also been used to mean a deeper spiritual awareness or consciousness. This chapter, written by a Greek educator on Turtle Island, explores the imaginaries of ancient Greek ways of knowing with her responsibilities to support decolonizing processes in the place in which she now lives. The author identifies the process of regeneration, of replacing or restoring damaged or missing dimensions of life as a call to which our educational systems must respond. Regeneration is synonymous with rebuilding, restoration, rehabilitation, revival, rebirth, redemption, renewal, recovery, and reconstruction. Her recognition that metanoia (a profound transformative shift) resulting in regeneration done with meraki (soul) and grounded in metis (wisdom and spiritual knowing) forms the basis of her revisioning of schooling and community. In reclaiming hidden structures of Greek wisdom, the author dives below the often incomplete frames of “western” ways of knowing and discourses to redeem deeper ontological frequencies hidden beneath the surface, joining these in constellation with other de/uncolonizing discourses and movements to redeem a “wholeness of being” that must be regenerated for planetary survival. This chapter traces a vision for leadership that reclaims the depth of Spirit and soul that are the basis upon which we can heal the traumas of the legacies of fragmentation, division and violence and remake/regenerate our educational systems.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.019 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.007 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".