Partaking of Life: Buddhism, Meat-Eating, and Sacrificial Discourses of Gratitude in Contemporary Japan
Bibliographic record
Abstract
In contemporary Japan, a Buddhist discourse has emerged that links life and food and centers on gratitude. While the connection between animals and gratitude has a long history in Buddhism, here the meaning of repaying a debt of gratitude has shifted from an emphasis on liberating animals to consuming them with gratitude, thereby replacing anti-meat-eating arguments with a sacrificial rationale. This rationale is also apparent in Partaking of Life, a children’s book written by a Jōdo Shin Buddhist adherent, which has found a receptive audience in Jōdo Shin circles, including the voice-acting troupe Team Ichibanboshi. This article provides a close reading of Partaking of Life: The Day That Little Mii Becomes Meat, followed by historical contexts for Buddhist vegetarianism and discrimination against professions that rely on killing animals, particularly as these themes pertain to Jōdo Shin Buddhism. The essay ends on an analysis of Team Ichibanboshi’s sermon on Partaking of Life.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.033 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| 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".