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Record W2080307924 · doi:10.1177/0008429811402025

Self-Transcendence as the Ultimate Reality in Interreligious Dialogue: A Neo-Confucian Perspective

2011· article· en· W2080307924 on OpenAlexaffvenue
Edward Y. J. Chung

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsTranscendence (philosophy)HeavenInterpretation (philosophy)Perspective (graphical)DoctrinePerfectionPhilosophyMiracleEpistemologyField (mathematics)SociologyAestheticsTheology

Abstract

fetched live from OpenAlex

This article presents the Confucian teaching of self-transcendence and its modern implications for interreligious dialogue. It first points out that most scholars in the field of interreligious dialogue share a common tendency to rely very heavily on Western concepts and/or Christian theological approaches. My discussion of self-transcendence is based on the classical teaching of Confucius and Mencius and its leading interpretation by two eminent Neo-Confucian thinkers, Chu Hsi (1130—1200) and Yi T’oegye (1501—1570). I present this core textual tradition while consulting its modern interpreters and some key examples of Confucian practice. Human beings have the potential to work toward perfection (sagehood), and embedded in this doctrine is a religious belief in the oneness of Heaven and human nature. We need to explore a new approach to the interreligious discussion of ‘‘ultimate reality’’ by considering Neo-Confucianism. A dialogue between the Neo-Confucian vision of self-transcendence and the converging heart of world religions will enhance the global enterprise of comparative religion.

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)0.007
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0060.063
Scholarly communication0.0060.010
Open science0.0020.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.133
GPT teacher head0.406
Teacher spread0.273 · 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 designTheoretical or conceptual
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
Published2011
Admission routes2
Has abstractyes

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