Karmic Ecology: Lessons from the Jain Dharma
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Jainism is one of the most ancient doctrines of the Indic tradition. Despite – or because of – its antiquity, it resonates well with modern concerns, in particular the concerns of the ecological movement. Jains attach high importance to the diversity and the intrinsic value of all life. They believe strongly in human reasoning and freedom of conscience for the individual. At the same time, they regard human creativity as conferring responsibilities rather than privileges, and the attempt to exercise unrestrained power as a sign of weakness rather than strength, one-sided ignorance rather than knowledge. The basis of Jainism is Ahimsa, which means non-violence or the conduct of social relationships in ways that consciously avoid harm. Jains extend the concept of society to the entire web of life, and human relationships with the rest of nature. The parallels between the Jain perspective and the perspective of Deep Ecology are fairly explicit. The distinctive Jain theory of karma is of interest to ecologists for tow principal reasons. First, it is based on the idea of a connecting web or network of life that corresponds with scientific understanding and ecological theory. Secondly, way of ‘living as if nature mattered’ through reducing negative human impact on the environment and working with rather than against the grain of nature. Jain doctrines of non-violence deeply influenced Mahatma Gandhi’s political thought and action. Today’s ecologists can also have their understanding enriched by this ancient source of wisdom.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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 it