DEVENIR UN BOUDDHA: ANALYSE SÉMIOTIQUE DES VISUALISATIONS DANS LE BOUDDHISME TIBÉTAIN
Bibliographic record
Abstract
Cet article analyse certains aspects du bouddhisme Vajrayāna sous l’angle théorique des zones anthropiques de François Rastier, pour qui le niveau sémiotique de la pratique sociale peut s’articuler en trois zones anthropiques: l’identité, la proximale et la distale. Le premier correspond en particulier à l'individu, le second aux contreparties et le troisième est rempli d'objets manquants, imaginaires ou inconnus. Sans nuances péjoratives, l'auteur appelle fétiches les objets de la première frontière et les idoles à ceux de la seconde. Le corpus analysé est constitué principalement de textes de sādhana, dans lesquels le praticien est invité, au moyen de visualisations complexes, à se transformer progressivement, au cours de la session, en un être éclairé, un Bouddha, passant ainsi de pensée de la zone. identité anthropique de la zone distale par l'intermédiaire d'une divinité bouddhiste ayant le statut d'idole. Este trabalho analisa alguns aspectos do budismo Vajrayāna sob a perspectiva teórica das zonas antrópicas de François Rastier, para quem, o nível semiótico da prática social pode ser articulado em três zonas antrópicas: a identitária, a proximal e a distal. A primeira corresponde, em particular, ao indivíduo, a segunda aos congêneres e a terceira é preenchida com objetos ausentes, imaginários ou desconhecidos. Sem nuances pejorativas, o autor chama fetiches aos objetos da primeira fronteira e ídolos aos da segunda. O corpus analisado consiste, principalmente, em textos do sādhana , onde o praticante é convidado, através de visualizações complexas, a ser transformado, progressivamente, durante a sessão, em um ser iluminado, um Buda, passando, assim, em pensamento, da zona antrópica de identidade para a zona distal, através da mediação de uma divindade budista que tem o status de ídolo.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".