Bibliographic record
Abstract
While the linguistic influence of India’s indigenous languages on the Indo- Aryan language (IA) is well understood, the cultural impact of the autochthonous Munda, Dravidian and Tibeto-Burman speaking peoples is much harder to evaluate, due to the lack of indigenous coeval records, and later historicization of the Buddha’s life and teachings. Nevertheless, there are cultural remnants of the indigenous belief systems discoverable in the Buddhist scriptures. In this article we examine 1) The longstanding hostility between the IA immigrants and the eastern ethnic groups, especially the Buddha’s Sakya clan. 2) The Sakyas’ socio-political organization, religious and cultural values which differ significantly from those of the immigrants. 3) The concept of the Mah?puru?a which was likely an historicization of an indigenous Indian belief. 4) Indigenous belief structures like serpent- and tree-worship and the culture of sacred groves, and 5) Indigenous funeral rites in the story of the Buddha’s parinibb?na.
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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 | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".