Bibliographic record
Abstract
Dans les nombreuses listes qu'en donnent les purâna, le nombre des avatāra et leurs noms ont beaucoup varié jusqu'à l'établissement d'une liste définitive. Et dans cette liste de dix avatāra figure au neuvième rang le Buddha, le dernier à apparaître dans la série. L'avatāra Buddha agit par la māyā (la ruse de Visnu) ; par le moyen de l'apparence trompeuse, il sème la confusion dans les esprits, répand des hérésies et incite à des comportements antibrahmaniques. Mais le Buddha n'est qu'une forme illusoire qu'a prise Visnu pour tromper les infidèles et les méchants afin de mieux provoquer leur ruine. La récupération par l'hindouisme du réformateur de la tradition védique et son intégration parmi les avatāra du grand dieu hindou témoigne de la séduction qu'a pu exercer son message, ce qui a amené les brahmanes à vouloir subvertir l'enseignement du grand adversaire.
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 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 | 0.000 | 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 | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".