Unveiling Voices and Visibility: Women's Engagement and Representation in Three Morning Prime-time Radio Shows in Accra, Ghana
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".