“I Reported My Wife to Her Mother . . .” An Analysis of Transgressions Within Child- and Parent-In-Law Relationships in Ghana
Bibliographic record
Abstract
We investigated transgressions in the context of in-law relationships in Ghana. In-laws form an integral part of the family structure in Ghana. However, psychological studies on in-law relationships in this country are rare. The current study interviewed thirty-seven individuals, aged between 32 and 76 who had been married between 2 and 59 years, from two regions in Southern Ghana. Through semi-structured interviews, participants described transgressions in-laws commit in the context of marriage. Interviews were recorded, transcribed verbatim and analyzed thematically. Findings revealed two major transgressions: role failure; and failure/resistance to changes in the in-law relationship. For children-in-law, failure to discharge roles as child bearers and meet financial obligations were considered as transgressions. Transgressions committed by parents-in-law include poor conflict handling, failures associated with customary postnatal care duties, privacy violations, and usurpation of daughter-in-law’s cooking rights. Findings have implications for couple and family interventions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".