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Record W4385526187 · doi:10.3998/mpub.12297089

Mediating Gender in Post-Authoritarian South Korea

2023· book· en· W4385526187 on OpenAlexafffund
Jesook Song, Michelle Cho

Bibliographic record

VenueUniversity of Michigan Press eBooks · 2023
Typebook
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsUniversity of Toronto
FundersAcademy of Korean StudiesYonsei UniversityKorean Studies Promotion ServiceMinistry of EducationYork UniversityUniversity of Southern California
KeywordsAuthoritarianismPolitical sciencePsychologyGender studiesSociologyDemocracyPoliticsLaw

Abstract

fetched live from OpenAlex

<div><i>Mediating Gender in Post-Authoritarian South Korea</i> focuses on the relationship between media representation and gender politics in South Korea. Its chapters feature notable voices of South Korea’s burgeoning sphere of gender critique enabled by social media, doing what no other academic volume has yet accomplished in the sphere of Anglophone studies on this topic. Seeking to interrogate the role of popular media in establishing and shaping gendered common sense, this volume fosters cross-disciplinary conversations linked by the central thesis that gender discourse and representation are central to the politics, aesthetics, and economics of contemporary South Korea. In the post-authoritarian period (the late 1980s to the #MeToo present), media representation and popular discourse changed the gender conventions that are found at the core of civic, political, and cultural debates. <br><br><i>Mediating Gender in Post-Authoritarian South Korea</i> maps the ways in which popular media and public discourse make the social dynamics of gender visible and open them up for debate and dismantling. In presenting innovative new research on the ways in which popular ideas about gender gain concrete form and political substance through mass mediation, the book’s contributors investigate the discursive production of gender in contemporary South Korea through trends, tropes, and thematics, as popular media become the domain in which new gendered subjectivities and relations transpire. The essays in this volume present cases and media objects that span multiple media and platforms, introducing new ways of thinking about gender as a platform and a conceptual infrastructure in the post-authoritarian era.</div>

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: Other
Teacher disagreement score0.349
Threshold uncertainty score0.993

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 head0.056
GPT teacher head0.264
Teacher spread0.208 · 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

Citations9
Published2023
Admission routes2
Has abstractyes

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