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Yi Suyong and the Quiet of “Korea’s Hiroshima”

2021· article· ko· W4210547553 on OpenAlexaff
Joshua D. Pilzer

Bibliographic record

VenueEthnomusicology · 2021
Typearticle
Languageko
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSilenceQUIETCivilityWitnessStyle (visual arts)HistoryPsychologyArtAestheticsPolitical scienceLawPhysics

Abstract

fetched live from OpenAlex

Abstract Bicultural residents of the Hapcheon Atomic Bomb Victims Welfare Center in rural southeastern Korea who were raised in Hiroshima and survived the bomb live in a complex world of quiet—of radiation-related vocal disability, Japanese and Korean cultural values of restraint and civility, religious practice and propriety, and traumatic memory. In this article, I musically encounter a world largely devoid of music, focusing on one survivor’s style of quietude. Manipulating rhythm, pitch, and silence in speech, testimony, and craftwork, she navigates between personal aims and the expectations she faces as a witness to Korean experiences of the atomic bomb. 히로시마에서 자랐고 원자폭탄의 폭격 속에서 생존한 합천원 폭피해자복지회관의 이중 문화 주민들은 복잡한 조용함의 세계에 살 고 있다. 방사선 관련 음성 장애, 일본과 한국 문화의 절제와 정중함 의 가치, 종교적 관습과 타당성, 그리고 외상 기억이 이 조용함의 많 은 원천 중 일부이다. 본 연구는 한 생존자의 조용함의 스타일을 중심 으로 음악이 많지 않은 이 세계를 음악적으로 조우한다. 이 생존자는 말, 증언, 공예품에서 리듬과 음조, 그리고 침묵을 조종하며, 한국인 의 원폭 경험에 대한 증인으로서 자신이 직면한 기대와 개인적인 목 표 사이를 탐색한다.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.008
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.006
Scholarly communication0.0040.003
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.027
GPT teacher head0.304
Teacher spread0.277 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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