MétaCan
Menu
Back to cohort

Unveiling Voices and Visibility: Women's Engagement and Representation in Three Morning Prime-time Radio Shows in Accra, Ghana

2025· book-chapter· en· W7084085151 on OpenAlexaff

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicRadio, Podcasts, and Digital Media
Canadian institutionsWestern University
Fundersnot available
KeywordsMorningRepresentation (politics)Content analysisQualitative researchPoliticsPopular culture

Abstract

fetched live from OpenAlex

Abstract While women’s status in Ghanaian media has improved in terms of the beats they cover, it is important to identify how this trend is reflected in such prime-time programmes as morning shows and how it has influenced gender sensitivity in content programming. This study investigates the engagement and participation of women in the three most popular morning radio shows in Accra, Ghana. We employed qualitative content analysis and systematically monitored and analysed the three shows over four weeks in terms of gender roles, issue representation, and the frequency and prominence of women’s participation. The results showed that there were more men than women participating in the morning shows as hosts/journalists or guests on a daily basis. Female co-hosts hardly ever filled in as programme hosts in the absence of male hosts. The study further established that men are more often the participants in political discussions on prime-time radio as both hosts and resource persons. We recommend that media organisations establish a culture that guarantees gender-transformative and gender-sensitive programming and representation to increase women’s participation and engagement in media projects.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.716
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.299
Teacher spread0.263 · 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.

Study designOther design
Domainnot available
GenreOther

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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same topicRadio, Podcasts, and Digital MediaFrench-language works237,207