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Record W4408414565 · doi:10.1080/15546128.2025.2471580

A Critical Discourse Analysis of the Resistance to the Implementation of Comprehensive Sexuality Education in Ghana

2025· article· en· W4408414565 on OpenAlexaff
Hilarius Kofi Kofinti

Bibliographic record

VenueAmerican Journal of Sexuality Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Sexualities and LGBTQ+ Issues
Canadian institutionsYork University
Fundersnot available
KeywordsHuman sexualitySexuality educationResistance (ecology)Critical discourse analysisDiscourse analysisCritical theorySociologyPedagogyPsychologySex educationGender studiesPolitical sciencePoliticsLinguisticsIdeology

Abstract

fetched live from OpenAlex

The decision of the Ghana Education Service to introduce comprehensive sexuality education (CSE) into its pre-tertiary education curriculum received a barrage of attacks from politicians, religious leaders, and the Ghanaian media, prompting the government to perform a U-turn on its implementation. Drawing on a dataset of 120 articles comprising news reports, op-ed pieces, and editorials, I explore the discursive strategies employed in the Ghanaian media to resist CSE implementation. I combine insights from critical policy analysis and critical discourse analysis to shed light on how, through the media, individuals and groups other than curriculum experts influence educational policies. This study draws on existing theorization of policy as the authoritative allocation of values to argue that resistance to CSE stemmed from the discrepancy between the perceived values espoused by CSE and Ghanaian traditional heteronormativity. Resistance strategies utilized included sensational headlining, framing CSE as a covert means to expose/acclimate students to LGBTQI+ lifestyles, framing CSE as a danger to Ghanaian values, framing CSE as a foreign imposition, and threatening a regime change. The findings strengthen scholarly understandings of how education policies are resisted in public discourse and the need for a broader education policy formulation process that is culturally sensitive.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.204
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
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 head0.020
GPT teacher head0.455
Teacher spread0.436 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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