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Record W4400789320 · doi:10.5509/2024974-art3

Censoring Speech in Democracies: South Korea

2024· article· en· W4400789320 on OpenAlexvenueno aff
Joseph Yi, Gowoon Jung

Bibliographic record

VenuePacific Affairs · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCensoring (clinical trials)Political scienceHistoryEconomicsEconometrics

Abstract

fetched live from OpenAlex

In South Korea, both conservatives and progressives restrict allegedly harmful speech, claiming to protect democracy and individual rights. Conservatives restrict "pro-communist" and pro-LGBT speech, while progressives target racist slurs and especially "far-right" speech supporting Japanese colonial (1910–1945) or anti-communist (1948–1987) regimes. These controversial restrictions contribute to a global debate among proponents of liberal-democratic values ("liberals" or "democrats") about the relationship between procedural and substantive rights and norms (PRN, SRN). Procedural refers to formal-legal rights (e. g., free speech) and non-legal norms (impartial reporting) associated with fair procedures. Substantive refers to rights and norms associated with fair substantive outcomes, such as nondiscrimination and equal dignity. Proponents of a zero-sum perspective, including victim-rights and militant- democracy advocates, believe illiberal actors exploit PRN to harm vulnerable groups and/or democratic institutions. Therefore, liberal procedural rights (e. g., free speech) and norms (objectivity) should not be equally applied to harmful speakers. Conversely, positive-sum advocates argue that uniformly respecting procedural rights and norms for all persons (including allegedly illiberal ones) better protects everyone's overall rights (procedural and substantive). Despite South Korea's transition to civilian-led democracy, self-identified democrats, both conservative and progressive, continue to restrict PRN for certain speakers. Other democrats oppose such selective, and often arbitrary, restrictions. The ongoing contestation among zero- and positive-sum liberals shapes the meaning and direction of liberal democracy in South Korea.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.980
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.021
GPT teacher head0.285
Teacher spread0.264 · 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 designQualitative
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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