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Record W4408868040 · doi:10.3998/mpub.14405362

Queer Throughlines

2025· book· en· W4408868040 on OpenAlexfundno aff
Ju Hui Han

Bibliographic record

VenueUniversity of Michigan Press eBooks · 2025
Typebook
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsnot available
FundersCenter for the Study of Women, University of California, Los AngelesSocial Sciences and Humanities Research Council of CanadaCenter for East Asian Studies, Stanford UniversityUniversity of ChicagoUniversity of California, IrvineMax-Planck-Institut zur Erforschung Multireligiöser und Multiethnischer GesellschaftenJohns Hopkins UniversityWellesley CollegeUniversity of MichiganGeorge Washington UniversityUniversity of PennsylvaniaOregon State UniversityPrinceton University
KeywordsHistory

Abstract

fetched live from OpenAlex

<I>Queer Throughlines</I> draws on years of direct participation, interviews, and ethnography to examine transnational Korean LGBTQ+ activism since the 1990s. Han maps the sites and routes of leftist and queer political movements, highlighting challenges posed by Christian conservatives in both South Korea and the United States. The book uses the concept of "throughlines" to weave together a web of movement stories across time and space: a coalition of Los Angeles–based LGBTQ+ activists and allies fighting an anti-gay petition campaign led by Korean immigrant churches; queer activists involved in anti-war protests in Seoul; progressive clergy embracing inclusivity and risking heresy charges and excommunication; and queer and trans activists refusing to be sidelined from visions of political change underway. These moments do not always line up in a straightforward narrative of victory or progress, yet they create powerful lines of solidarity, community, and kinship.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.656
Threshold uncertainty score0.950

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.031
GPT teacher head0.252
Teacher spread0.220 · 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 designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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