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Record W6998856103

Avadānakalpalatā第59章研究ノート

2019· other· en· W6998856103 on OpenAlexfundno aff

Bibliographic record

VenueHiroshima University Acedemic Information Repository (Hiroshima University) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersStockholms UniversitetSmithsonian Tropical Research InstituteYork University
KeywordsSimileLegendSubject (documents)PoetryKashmiriBuddhismCharacter (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

The Avadānakalpalatā, by the Kashmiri poet Kṣemendra (ca. 990–1066 CE), is a collection of Buddhist legends in one hundred and eight chapters. The fifty-ninth chapter of the work is devoted to the legend of Prince Kuṇāla, the son of King Aśoka. Kṣemendra bases his version of the legend of Kuṇāla on the Ku na la’i rtogs pa brjod pa (*Kuṇālāvadāna), available to us in its entirety in Tibetan (’Dul ba, Peking, SU227b3–240a4). A glimpse at Kṣemendra’s version tells us that the poet takes pains to introduce into his version elements typical of court poetry, for example, the description of spring (vv. 18–21), of women (vv. 65–68), of a sunset (v. 122), of the rising of the moon (vv. 127–128), etc. However, scholars have paid little attention to Kṣemendra’s use of poetic elements. Focusing on the text of the fifty-ninth chapter of the Avadānakalpalatā, I consider the question of Kṣemendra’s attitude towards poetry, and the poetic traditions upon which he has drawn. A perusal of the text reveals the following:\n• According to poeticians, a simile (upamā) must be constructed so that the standard of comparison (upamāṇa) could agree in gender, number, and case with the subject of comparison (upameya). In verse 28, Kṣemendra uses a simile in which the standard of comparison does not agree in gender with the subject of comparison, as in bhītyeva śīlena vimucyamānā (“Just as one is free from fear, similarly she was free from morality.”).\n• In Mālatīmādhava 9.10, Bhavabhūti (eighth century CE) employs a simile in which the standard of comparison does not agree in number with the subject of comparison, as in tṛṇam iva tataḥ prāṇān moktum mano vidhṛtaṃ tayā (“Just as one resolves to give up a blade of grass, similarly she then resolved to give up her life.”). It is interesting to note that Jagaddhara (ca. thirteenth to fourteenth century CE), one of the commentators on the Mālatīmādhava, advances the view that the simile in question cannot be regarded as defective, for the defect of disagreement in number is here acceptable because of poetic sentiment (rasa).\n• In verses 25, 27, and 28, one can find the words prakampa (“tremor”), moha (“delusion”), and bhīti (“fear”), respectively, which are, according to the dramaturge Dhanaṃjaya (late tenth century CE), used to describe the symptom (anubhāva), the transient state of mind (vyabhicārin), and the basic emotion (sthāyibhāva) of a terrifying sentiment (bhayānakarasa), respectively.\n• A large number of poetic phrases employed by Kṣemendra can be exclusively found in the works of non-Buddhist poets, such as Bhavabhūti, Maṅkha (twelfth century CE), and others. A closer investigation of the examples in which non-Buddhist poets use poetic phrases similar to Kṣemendra’s makes it possible for us not only to tentatively reconstruct the original text of the Avadānakalpalatā, but to more accurately interpret the same text.\nIn conclusion: (1) Kṣemendra gives priority to the suggestion of sentiment over the construction of ornaments of speech within the confines of rules laid down by poeticians; (2) He drew more heavily on the tradition of Hindu court poetry than that of Buddhist court poetry, which he does not quote at all in his treatise on poetry.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.003
Science and technology studies0.0010.001
Scholarly communication0.0000.004
Open science0.0030.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.025

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 head0.005
GPT teacher head0.156
Teacher spread0.151 · 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; both teacher heads agree on what is shown here.

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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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