Heartmind Literacy: Compassionate Imagining & The Four Brahmavihāras
Bibliographic record
Abstract
This paper addresses the primacy of reason over emotion in much of Western philosophy and education. It brings Theravadan Buddhist wisdom to bear upon Western philosophical and educational conceptions of emotion, empathy, and compassion. More specifically, it discusses the four Brahmavihāras, or Divine Abodes. These abodes are considered boundless states of heartmind awareness that dismantle the bifurcation of mind/emotion and embody ideals of social engagement and peace. If cultivated, or dwelled in, they can overturn negative and destructive impulses, freeing the mind from greed, hatred, and delusion. They include Mettā, or loving-kindness, Karunā, or compassion, Muditā or sympathetic joy, and Uppekā or equanimity. In some respects, these abodes reflect aspects of contemporary Western understandings of empathy and compassion. However, they also elaborate upon and differ significantly from these understandings. North American learning outcomes, particularly in such areas as English language arts and peace education, seek to support the cultivation of emotional literacy in students with the hopes that such cultivation will initiate and enhance responsive and responsible relations with self, other, and environment. Insight into these abodes can consequently shed light on possibilities for deepening ethical, emotional, and educational engagement in North America.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.013 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".