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Record W2202522465

Ouyang Jingwu Buddhism Socialization and Sinology Education Philosophy

2015· article· en· W2202522465 on OpenAlexvenueno aff
Junjie Wang, Fang Wang

Bibliographic record

VenueHigher education of social science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIdeological and Political Education
Canadian institutionsnot available
Fundersnot available
KeywordsBuddhismSinologyMainstreamSectChinaPhilosophyReligious studiesEliteChinese philosophyNeo-ConfucianismEpistemologyTheologyPolitical scienceLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

The integration of Buddhism and Confucianism put forward by Ouyang Jingwu is the combination of pure Buddhism and Confucianism with original consciousnessonly theory as the focus, distinguishing itself from the traditional concept of the integration of Buddhism represented by Zen and Confucianism with the basis of Neo-Confucianism in the Song and Ming Dynasty. In the meanwhile, the integration of Confucianism and Buddhism come up with by him has a distinctive feature that Confucianism serves as the Buddhism’s knowledge of complying with the needs of society. He strictly defines the content of Confucianism and Buddhism to academically discuss the blending of inner logic of Buddhism and Confucianism. He criticizes the sinicized Buddhism which serves Tiantai Sect, Huanyan Sect and Jingtu School of Buddhism as mainstream, simply the China Buddhism classics liken Mahayana, reconstructs the inner school; he criticizes the mainstream Confucianism which is based on Neo-Confucianism in Song and Ming Dynasty, and the Confucianism which eschews quietus and ontology, he also criticized the fledgling Confucianism, and reconstructs the Confucianism. And then, he advocated to take the “Three Wisdoms and three gradual steps” as the main method to blend Confucianism and Buddhism. His fusion of Confucianism and Buddhism has brought profound influence to intellectual and elite at that time, making important significance.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.790
Threshold uncertainty score0.863

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.072
GPT teacher head0.400
Teacher spread0.328 · 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 teacher head, 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

Citations0
Published2015
Admission routes1
Has abstractyes

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