Toward the Enlightened Self: How Mindfulness and Psychedelics Relate to Self-Transcendence and Connectedness
Bibliographic record
Abstract
Objective. Spirituality and religiosity have long been associated with experiences that transcend ordinary self-awareness, often described as mystical union or nondual awareness. This study examines the concept of the “enlightened self” as a transcendent ideal, focusing on the role of mindfulness practice and psychedelic experiences in fostering self-transcendence, nondual awareness, and ecological connectedness. Method. A total of 1,164 participants (668 men, 433 women, and 63 other) were recruited internationally, primarily from the United States (n = 502), Canada (n = 67), the United Kingdom (n= 59), and Poland (n = 50). They completed validated self-report measures of mindfulness traits, contemplative practice frequency and duration, lifetime psychedelic use and intensity, ego dissolution, self-transcendence, nondual awareness, and ecological awareness. Analyses included correlational, regression, and mediation models. Results. Mindfulness practice and psychedelic experiences were positively associated with self-transcendence and nondual awareness. Ego dissolution emerged as a significant mediator linking both practices with nondual awareness. Ecological awareness was also positively associated with self-transcendent orientation. Conclusions. Findings suggest that mindfulness and psychedelics may contribute to experiences of self-transcendence and ecological connectedness. These phenomena remain complex to define and study, underscoring the need for multimethod approaches to capture their depth and diversity.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".