Caveat Emptor: The Dalai Lama’s Proviso and the Burden of (Scientific) Proof
Bibliographic record
Abstract
A more complete understanding of the Dalai Lama’s intellectual milieu and mental framework serves to contextualize and appraise his contributions to the discourse on Buddhism and Science in general, and the so-called Mind and Life Dialogues in particular. In addition to providing indispensable background information, a fuller expression of his foundational views and motives sheds light upon the idiosyncratic way the Dalai Lama engages new fields of knowledge. Thanks to the Dialogues’ format and the transparency of the Dalai Lama’s scholastic mentality, the way in which Mind and Life participants meet various challenges in practice offers enough traction to retrieve and critically appraise real-time patterns of engagement and innovation. This should prove to be instrumental in determining the Dialogues’ measure of success, at least by its own standards and stated purpose. Following this approach, the Dalai Lama’s long-time use of a proviso derived from Tsongkhapa’s reading of Middle Way philosophy as a methodological distinction that delineates the scope of Science warrants specific attention.
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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 | 0.029 | 0.179 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.028 |
| Scholarly communication | 0.007 | 0.020 |
| Open science | 0.009 | 0.009 |
| Research integrity | 0.008 | 0.025 |
| Insufficient payload (model declined to judge) | 0.028 | 0.008 |
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".