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Record W1514651429 · doi:10.24201/eaa.v48i3.2092

Buda histórico y Buda legendario. Tradiciones hagiográficas de Siddhārtha Gautama

2013· article· es· W1514651429 on OpenAlexfundno aff
Juan Arnau

Bibliographic record

VenueEstudios de Asia y África · 2013
Typearticle
Languagees
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsnot available
FundersÉcole française d'Extrême-OrientUniversity of CambridgeYork University
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

El artículo analiza las diversas fuentes que contribuyeron a la leyenda de Siddhārtha Gautama: las hagiografías independientes como el Lalitavistara o el Mahāvastu, el Buddhacarita de Aśvaghosa, el Udāna, que constituye la tercera sección del Khuddakanikāya y otros fragmentos de las colecciones canónicas de los nikaya, como Nidānakathā, las hagiografías incluidas en códigos monásticos, las colecciones de leyendas, cuentos y fábulas indias recopiladas en el género de las jātaka. Finalmente, se sintetizan algunas de las investigaciones recientes en torno de la fecha del Buda histórico.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.038
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.010
Scholarly communication0.0050.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.017
GPT teacher head0.220
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations1
Published2013
Admission routes1
Has abstractyes

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