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Record W4412942219 · doi:10.1177/21674795251364564

Governing Paralympians: A Media Discourse Analysis of Disability and Gender in China

2025· article· en· W4412942219 on OpenAlex
Lanfei Wang, Bryan C. Clift, Bonnie Pang, Jessica Francombe-Webb

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCommunication & Sport · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsParks Canada
Fundersnot available
KeywordsChinaSociologyGender studiesPsychologyPolitical science

Abstract

fetched live from OpenAlex

This paper uses Foucauldian-influenced discourse analysis to explore the governance of disability and gender in Chinese print media during the 2022 Beijing Winter Paralympics. Drawing on 38 articles published in China Daily , a state-affiliated newspaper, this study examines the media representations of Paralympians and, more importantly, the ways in which gendered and disabled subject positions are constituted, negotiated, and regulated. The analysis illustrates how ableism and sexism persist in representations of Paralympians under the guise of neoliberal governance and heterosexual assumptions. In addition, Chinese para-athletes are particularly disciplined by normative, state-sanctioned gender ideals within a prevailing atmosphere of nationalism. Overall, this study offers a critique of discursive strategies of inclusionism in Chinese media practices at the intersection of gender and disability.

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.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.035
GPT teacher head0.392
Teacher spread0.357 · 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