Zen-informed Spiritual Research Paradigm: A Buddhist Approach to Decolonizing MSR Research
Bibliographic record
Abstract
In this article, I introduce a "Zen-informed spiritual research paradigm" rooted in an Eastern Buddhist worldview that fundamentally transcends Western mainstream functional- ism. I first propose a definition of "spiritual research" and discuss its philosophical and methodological implications. I then elaborate on the features of a Zen-informed spiritual research paradigm concerning ontology, epistemology, axiology, and methodology. Furthermore, I use a field study to demonstrate the application of Zen methodologies in research design, data sampling, data collection, data analysis, theorizing, and report writing. Finally, I propose six evaluation criteria for spiritual research along with applicable methodological strategies to meet each criterion. This research is pioneering in decolonizing MSR research paradigms through Zen-informed approaches in response to the urgent call for a paradigmatic shift to enable global consciousness.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.028 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".