Community Groups Co-Design Evidence-Based Docudramas to Communicate About Child Spacing in Bauchi State, Nigeria: A Qualitative Descriptive Study
Bibliographic record
Abstract
In Bauchi State, northern Nigeria, communities recognise short birth interval ( kunika in the Hausa language) as harmful, but family planning is a sensitive topic. This paper describes the development of a culturally safe way to communicate about kunika in a conservative Muslim setting. The objective was to co-design culturally safe communication material, based on local knowledge about short birth interval, to share with women and men in households. Six community co-design groups of women and six of men (total 96 participants) reviewed summaries of their previously created maps of perceived local causes of kunika, categorised as frequent sex, family dynamics and non-use of contraception. They advised how these causes could be discussed effectively and acceptably with women and their husbands in households and suggested storylines for three short video docudramas about the prevention of kunika. The research team created the docudramas with a local producer and fieldworkers piloted their use in households. The design groups advised that communication materials should focus on child spacing rather than on limitation of family size. Even sensitive issues could be covered. People would not change their sexual behaviour but could be advised to use contraceptives to prevent kunika. The groups approved the final videos and six focus groups of visited women and men reported they were acceptable and helpful. Community co-design of communication about kunika was feasible and led to videos about a sensitive topic that were acceptable to ordinary men and women in communities in Bauchi.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.067 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.000 | 0.012 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".