‘Tsatsu tsɛɛ bo…’: Societal reactions to male infertility among the Ga’s in Ghana
Bibliographic record
Abstract
Patrilineality plays a significant role in determining and confirming an individual's family membership based on their father's lineage. However, despite the importance of patrilineality in some societies, male infertility-which contributes significantly to infertility and accounts for half of all cases-has emerged as a significant concern. Thus, the study explores societal reactions to male infertility in Krokobite, a suburb of Accra, which is a predominantly Ga-speaking and patrilineal society. The study adopted a qualitative approach, utilizing in-depth interviews (24), focus group discussions (9), and key informant interviews (3). The study's findings primarily attribute infertility to women, identifying blood incompatibility between couples as a contributing factor in some situations. The findings additionally show that men who are unable to have children or who delay having children face persistent teasing from their peers, who seek to encourage them to join the group of "responsible" men in society by having a child. The study further concludes that the concept of reproductive masculinity is evident in how participants regard males as fertile and less prone to reproductive harm. However, it does not show a significant relationship between reproductive masculinity and the role of fathers in identifying the cause of infertility in a relationship.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".