Bibliographic record
Abstract
Abstract This paper analyzes the idea of “human exceptionalism” from the perspective of Tibetan Buddhism. It argues that, in the Tibetan Buddhist context, many of the negative consequences of human exceptionalism are overshadowed by the concept’s ability to promote an altruistic comportment to the more-than-human world when supported by the Buddhist ontology and its broader project of liberating all beings from duhkha. To this end, this paper looks at how Tibetan Buddhist teachers qualify a “precious human life” by conducting a close reading of primary texts before extrapolating some general themes of these selected passages and applying them to our contemporary ecological situation. In doing so, it makes the argument that human exceptionalism is not a problem in and of itself but has a positive or negative effect on the more-than-human world depending on how it is established, maintained, and understood. It also demonstrates how Tibetan Buddhism can be a useful tradition for thinking alongside as we attempt to address global issues concerning the environment and nonhuman animals.
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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 | 0.004 | 0.025 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".