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Record W2006186152 · doi:10.1353/jkr.2011.0014

In Search of "Korean-ness" in Korean Religions through Border-crossing: A Comparative Approach

2011· article· en· W2006186152 on OpenAlexaff
Nam‐lin Hur

Bibliographic record

VenueJournal of Korean religions · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBuddhismAncestorContext (archaeology)WorshipHistoryComparative religionCultOrder (exchange)Filial pietyReligious studiesSyncretism (linguistics)Ancient historyPhilosophySociologyGender studiesTheologyLinguistics

Abstract

fetched live from OpenAlex

What elements make Korean religions distinctive? This is an issue that has attracted a lot of attention from many scholars in the field. What would be an effective avenue to approach the ways in which external religions are adapted or transformed to Korean society and culture? In this article, Hur suggests that the task of tackling this question can benefit from a border-crossing approach, particularly through comparison with Japanese religions that offer a range of contrasting features. In order to illustrate this, Hur offers two examples that sharply distinguished Korean religions from Japanese religions in early modern times. One is the value of filial piety which dominated Korean Confucianism but was almost invisible in Japanese Confucianism. The other is Buddhism's role in funerary rituals and ancestor worship: Buddhism in Chosŏn Korea was kept at bay from the dominant ritual arena of ancestor-related rituals; in contrast, Buddhism in Tokugawa Japan was the central agent of funerary rites and ancestor worship rituals. Hur suggests that border-crossing, comparative approaches that involve Japanese cases can contribute to de-localizing Korean religions and, at the same time, to localizing Korean-ness found in Korean religions in the context of society and culture.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.007
Scholarly communication0.0030.009
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.092
GPT teacher head0.360
Teacher spread0.268 · 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 designQualitative
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

Citations1
Published2011
Admission routes1
Has abstractyes

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