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Record W4402987224 · doi:10.1177/13548565241288466

‘The glowing fireflies’: Invisible activism under China’s queer necropolitics

2024· article· en· W4402987224 on OpenAlexfundno aff
Ausma Bernot, Fan Yang, Sara E. Davies

Bibliographic record

VenueConvergence The International Journal of Research into New Media Technologies · 2024
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
FundersSimon Fraser UniversityCanadian Institutes of Health ResearchGriffith University
KeywordsQueerChinaGender studiesPolitical scienceSociologyLaw

Abstract

fetched live from OpenAlex

In China, the escalating repression of gender and sexual diversity has given rise to 'queer necropolitics'. 'Queer necropolitics' - a concept we build on - refers to the hegemonic ability to determine who is allowed to suffer, survive, or thrive. We examine China's sustained re-enforcement of traditional gender norms, which has rendered queer communities non-existent from official recognition. In this context, we aim to understand how China's state queer necropolitics has shaped queer organising in the country. From 2021 to 2022, we conducted 26 semi-structured interviews with a diverse cohort of self-identified LGBTIQ+ members and activists across 12 provinces in China. We find that the interplay of legal invisibility and politicised, moralised visibility has placed queer communities under hegemonic governance techniques of suppression. The paper argues that China's queer necropolitics has established invisible activism. The juxtaposition of invisibility with activism denotes the quiet, implicit, and everyday embodied acts of communal care among queer communities as a form of resistance. Building on the metaphor of 'glowing fireflies' shared by a research participant, invisible activism presents a more sustainable approach than conventional rights-based activism. The paper expands our understanding of politically antagonistic practices, acknowledging the diversity and complexity embedded within queer activism.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.713
Threshold uncertainty score0.896

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0030.001
Research integrity0.0000.002
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 head0.111
GPT teacher head0.478
Teacher spread0.367 · 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 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

Citations13
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueConvergence The International Journal of Research into New Media TechnologiesSame topicLGBTQ Health, Identity, and PolicyFrench-language works237,207