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Record W993735954 · doi:10.1353/ach.2015.0023

Politicidal Violence and the Problematics of Localized Memory at Civilian Massacre Sites: The Cheju 4.3 Peace Park and the Kŏch’ang Incident Memorial Park

2015· article· en· W993735954 on OpenAlexaff
B. A. Wright

Bibliographic record

VenueCross-currents · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicKorean Peninsula Historical and Political Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGeographySociologyHumanitiesArt

Abstract

fetched live from OpenAlex

This article examines two South Korean sites dedicated to the remembrance of Korean War–era civilian massacres, the Cheju 4.3 Peace Park and the Kŏch’ang Incident Memorial Park. Specifically, the article explores the sites’ localized, victim-centric epistemology as one that counters nationalist discourses and narratives that privilege the state. While acknowledging that these sites offer a physical mnemonic space for challenging the hegemonic “June 25” ( yugio ) narrative, the author suggests that, in their narrow spatial and ideological orientation, these sites cumulatively fall short of offering a cohesive narrative of the politicidal, anti-Communist state-building project of which they are a consequence. Though of tremendous value in restoring victims’ honor, critiquing human rights abuses of the Republic of Korea, and giving a voice to marginalized groups, these spaces fail to provide historical clarity to a distorted era of South Korea’s past. In addressing this problematic, the article examines the role of family bereavement associations, narrative constructions, and the silencing of the National Guidance League Incident at these locations.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.009
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.039
GPT teacher head0.331
Teacher spread0.293 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2015
Admission routes1
Has abstractyes

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