Bibliographic record
Abstract
Abstract What rules of fighting (armed combat) does Hinduism espouse? The sacred texts are the pre-eminent sources, so these need to be summarized and compared to each other. Teaching mostly through stories, the texts describe deeds of people (especially warriors), gods and demons to show how to behave and not to behave in war. While the injunctions in the Mahābhārata and Arthaśāstra are already covered in the literature, including in this journal, this present work examines the Purāṇas in depth. After a thorough search of all relevant passages, we find the Purāṇas to be very similar to the epics in terms of the list of prescribed and proscribed actions in war that they provide. We also make comparisons to international humanitarian law (IHL); as in the epics, we find that the Purāṇas contain many similar provisions to those found in IHL but that they go above and beyond what is required by IHL in urging that fighting be fair at the tactical level (i.e., between individual fighters). Being religious texts, the Purāṇas also deal with the afterlife consequences of both righteous and unrighteous combat.
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.
How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 | 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) | 0.001 | 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 teacher head, 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".