Notes on Miki Kiyoshi’s Anthropological Humanism and Environmental Ethics
Bibliographic record
Abstract
This article argues for the importance of using Miki Kiyoshi’s anthropological humanism as a theoretical resource for confronting the unfolding ecological crisis. What makes Miki’s anthropological humanism valuable towards this end, in particular, is in the way he blends multiple theoretical discourses—particularly Nishida and Marx—which speak to the concerns espoused by Deep Ecology and Marxist approaches to environmental philosophy. Unlike other Kyoto School thinkers deployed in the service of building an environmental ethics in recent years, Miki’s philosophical work offers social-economic alternatives to the problem of capitalism within a non-dual framework that seeks to be non-dogmatic. This article will discuss how Miki’s anthropological humanism can enrich those conversations taking place within the “green” and “red” movements by providing them with insights by which to contest and overcome anthropocentric views of reality and the system of capitalism believed to be responsible for the environmental destruction we see today.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.017 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".