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Record W2837155965 · doi:10.1111/rec3.12270

Why does a woman need to become a man in order to become a Buddha?: Past investigations, new leads

2018· article· en· W2837155965 on OpenAlexaff
Stephanie Balkwill

Bibliographic record

VenueReligion Compass · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsUniversity of Winnipeg
FundersUniversity of Southern California
KeywordsGautama BuddhaInterpretation (philosophy)BuddhismConversationReading (process)PsychologyOrder (exchange)EmptinessDaughterPsychoanalysisLinguisticsPhilosophyEpistemologyCommunicationTheologyLawPolitical science

Abstract

fetched live from OpenAlex

Abstract This paper puts forth a new interpretation of the problem of the ineligibility of the female body for Buddhahood as it is seen in the texts of the Mahāyāna tradition of Buddhism. Recognizing that advanced female practitioners in Mahāyāna sūtras both lecture their detractors on the emptiness of physical forms while simultaneously changing their female forms to male ones, this paper provides an interpretation of the available textual material that reads the actions of such female practitioners as consonant and not contradictory. In so doing, this paper offers an innovative reading of the famous story of the Dragon King's Daughter from the Lotus Sūtra , one that sees it in conversation with a lesser known text specifically on the topic of female‐to‐male sex change on the path to Buddhahood, the Sūtra on Transforming the Female Form . Video Abstract available at https://youtu.be/iK8sJNq4y5s

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)0.005
metaresearch head score (Gemma)0.007
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0100.028
Scholarly communication0.0070.007
Open science0.0010.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.028
GPT teacher head0.255
Teacher spread0.227 · 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
GenreEmpirical

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

Citations7
Published2018
Admission routes1
Has abstractyes

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