Na we go shine: women's wellbeing, agency, and health seeking behaviours in southeastern Nigeria
Bibliographic record
Abstract
Objectives: Peer-reviewed literature on southeastern Nigerian women's health status is scant. This participatory action research project explored mental and physical health status issues within a sample population of childbearing women in Cross River State. Methods: We conducted an initial study using the formal chieftaincy channels in villages and learned that those who expressed themselves were primarily men. We found that their concerns differed from those of women. We conducted this study in an attempt to hear from women about their health needs in the context of their lives. Local women carried out face-to-face interviews in their language with childbearing women in their community. We interviewed 70 women from ages 18-45 in 12 villages. Results/discussion: Most participants had their own farms and grew rice, cassava and yam to feed their families. The majority of participants had not completed elementary school and had given birth to an average of 6 children, 4 of whom survived. Most of the women who were included in this study walked 6-8 h per day to retrieve drinking water. Their young children and babies often accompanied their mothers on these journeys. Participants reported that they had suffered from malaria, diarrhea, anemia, hernia, waist pains, cough, eye problems and continuous headaches. Traditional healers were their first choice for treatment, partly because of physical and financial accessibility and partly because of cultural resonance and positive outcomes. Conclusion: Despite tremendous social, economic and political barriers, our participants generally reported a strong sense of well-being and had positive outlooks on their lives. We also interviewed 15 traditional healers to enhance the statements made by our female participants regarding their health-seeking behaviors.
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 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 | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".