Stoic Wisdom for the Contemplative Teacher: Prosochê and Praemeditatio Malorum as Alternative Approaches to Mindfulness
Bibliographic record
Abstract
In K-12 environments where teacher burnout and attrition are increasingly prevalent, where can educational professionals seek sustainable approaches to reduce exhaustion, emotional demands, and uncertainty? In this paper, I extend Christopher McCaw’s research on the direct and dynamic relationship between contemplative practices and who teachers are and are becoming. By examining the current debates around defining reflective and contemplative practitioners, I call for alternative definitions of mindfulness when considering teacher professional becoming and submit for consideration the perspectives of Greco-Roman philosophy which has hitherto been less explored apropos education. Using prosochê (attention) and the Stoic exercise of praemeditatio malorum to expand the conceptual framing of becoming a contemplative practitioner, I articulate the gifts of Hellenistic thinking and what it can offer K-12 teachers. With personal reflections as a beginning teacher during the COVID-19 pandemic, an exploration of the implications and limitations of philosophical premeditation implemented as a contemplative practice for educators are considered.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.044 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".