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Record W1279459434 · doi:10.1163/15728536-05800062

The Story of Dharmadinnā

2015· article· en· W1279459434 on OpenAlexaff
Fumi Yao

Bibliographic record

VenueIndo-Iranian Journal · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsOrdinationBuddhismNarrativeRelation (database)Table (database)LiteratureHistoryPhilosophyComputer scienceMathematicsArtTheologyData miningStatistics

Abstract

fetched live from OpenAlex

In the Kṣudrakavastu of the Mūlasarvāstivāda Vinaya, the nun Dharmadinnā is ordained not in the usual way, but rather by a messenger, a valid type of ordination listed in the various lists of types of ordination in Indian Buddhist texts. While both the story of Dharmadinnā and these lists have received some scholarly attention, what has not been noted is the peculiarity of the Mūlasarvāstivādin tradition in relation to other existing vinayas on the issue of ordination by messenger. In this paper, I examine the story of Dharmadinnā’s ordination in the Kṣudrakavastu with special reference to its highly narrative characteristics and its surprising lack of legal elements. Then I discuss how the above characteristics are related to the list of different types of ordination which appears in other parts of this vinaya. As Appendices, I present a comparative table of the story and its counterparts in the other vinayas and a comparative table of the lists of types of ordination found in different texts.

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 score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0130.007
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.003
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 head0.075
GPT teacher head0.235
Teacher spread0.161 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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