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Record W4413289696 · doi:10.1080/14680777.2025.2514063

Of <i>Paano-sexuals</i> and pansexuals: media representation of queer Ghanaians and queer self-representation through alternative media

2025· article· en· W4413289696 on OpenAlexaff
Edem Abbeyquaye

Bibliographic record

VenueFeminist Media Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Sexualities and LGBTQ+ Issues
Canadian institutionsQueen's University
Fundersnot available
KeywordsQueerRepresentation (politics)SociologyGender studiesPolitical sciencePolitics

Abstract

fetched live from OpenAlex

In 2021, Ghanaian Journalists formed the Coalition of Journalists against LGBT+ Rights and aligned with anti-queer campaigners to spread homophobia. This led to a raid and shutdown of the newly inaugurated LGBT+ community centre barely a month after its opening. In an interview with a media expert and human rights advocate, a journalist with a reputable media house alleged that “… pansexual means having sex with inanimate objects including a loaf of bread …” echoing well-known anti-LGBT+ campaigner, Moses Foh-Amoaning. Similarly, a renowned Ghanaian feminist, journalist, and host of a show on the national broadcaster celebrated an alleged “ex-gay” man while equating homosexuality to “a cult that is well connected.” Without a doubt, these narratives and many others prior and subsequent, have led to a series of attacks on queer people, arrests of queer people, and the introduction of the “Proper Sexual Rights and Ghanaian Family Values Bill.” In the face of this, how are queer Ghanaians and activists using alternative media to subvert mainstream/traditional media narratives? Drawing on existing literature, autoethnography, and discourse analysis, this paper explores the many ways queer Ghanaians and activists are leveraging alternative media to self-represent and counter mainstream narratives about them.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.808

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.399
Teacher spread0.326 · 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
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

Citations0
Published2025
Admission routes1
Has abstractyes

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