Knowing Our True Self and Transforming Suffering toward Peace and Love: Embodying the Wisdom of the Heart Sutra and the Diamond Sutra
Bibliographic record
Abstract
The biggest crisis that we are in nowadays is existential, which is the state of not knowing our true natures or our true selves; hence, we suffer from deep anxiety and we fail to find safety and a way to ground ourselves. In this article, we share our practical experiences of encountering and practicing the teachings of two important Buddhist scriptures: the Heart Sutra and the Diamond Sutra. We show how both sutras, and especially their teachings on emptiness, allow us to remove our attachment to a sense of a separate self, which deepens our understanding about life, and transforms suffering toward peace and love. We further demonstrate the importance of meditation, contemplative chanting and reading, and experimentation with Buddhist teachings as pathways towards understanding our true natures. In sum, both sutras help us to go beyond the materialistic, capitalistic, narrow vision of who we are and to access the higher dimension of our existence, which allows us to discover our cosmic selves in the ultimate reality. It is through experiencing one’s true self that one gains a greater capacity to seek social transformation in times of crisis.
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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 | 0.002 | 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 | 0.003 | 0.016 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.005 |
| 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".