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Record W3017937365 · doi:10.1080/13825577.2020.1730052

(De)trans visibility: moral panic in mainstream media reports on de/retransition

2020· article· en· W3017937365 on OpenAlex

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

VenueEuropean Journal of English Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsWestern University
Fundersnot available
KeywordsMainstreamPsychologySocial psychologyGender dysphoriaAnxietyRegretNarrativeSociologyGender studiesPolitical scienceGender identity

Abstract

fetched live from OpenAlex

The current increase in the visibility of trans people in the media has been accompanied by a backlash in the form of an increased deployment of narratives of ‘sex change regret’ or ‘de/retransition.’ Through analysing mainstream media articles from 2015–2018, this paper identifies and discusses three main themes detected in discussions of de/retransition. First, the articles claim that the social and political climate has become too accepting of trans identities and, thus, any discussion of de/retransition is silenced because of ‘political correctness.’ Second, while the articles collected tend to begin with a general discussion of the phenomenon of de/retransitioning, they slide into addressing (White, cisgender) children and the need to protect them from misdiagnosis. Third, the fear about misdiagnosis of (White, cisgender) children is intensified by the focus on a recently hypothesised category of gender dysphoria – rapid-onset gender dysphoria – that suggests some children’s and adolescents’ dysphoric feelings are a result of ‘social contagion.’ Mainstream media discussions of de/retransition focus on the aforementioned themes in an attempt to question contemporary approaches to regulating access to gender-affirming medical care for trans individuals.

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)0.004
metaresearch head score (Gemma)0.006
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.775

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
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 head0.074
GPT teacher head0.308
Teacher spread0.233 · 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