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Record W1982541414 · doi:10.1177/000842980103000202

Rejecting enlightenment? The medieval Christian transformation of the Buddha-legend in Jacobus de Voragine's Barlaam and josaphat

2001· article· en· W1982541414 on OpenAlexaffvenue
Graeme MacQueen

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsMcMaster University
Fundersnot available
KeywordsLegendGautama BuddhaEnlightenmentPhilosophyLiteratureArtEpistemologyBuddhismTheology

Abstract

fetched live from OpenAlex

By the time the story of the Buddha became popular in medieval Europe as the story of the Christian saints Barlaam and Josaphat it had been subjected to many significant changes, one of the most intriguing of which is the apparent removal of the protagonist's enlightenment. How does this removal relate to the re-crafting of the religious message of the text? Paying special attention to the most widely disseminated medieval version of the tale, that in the Golden Legend, I conclude that Barlaam and Josaphat is remarkable both for what it omits and what it retains. It certainly omits the formal attainment of Buddhahood, and in doing so it suggests that the answers to our questioning of the world cannot come through cognition alone. But it retains and even highlights the insight into the flawed nature of the world—an insight central to the Buddha—legend—and treats it as a prerequisite to spiritual fulfilment.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.009
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0090.027
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.047
GPT teacher head0.295
Teacher spread0.248 · 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

Citations0
Published2001
Admission routes2
Has abstractyes

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