Exploring factors leading to the justification of marital rape among Ghanaian-Canadian married women
Bibliographic record
Abstract
Canada implemented Bill C-127 to eliminate sexual assault against wives in 1983, while Ghana criminalized marital rape in 2007. Although Ghana was late in establishing the Domestic Violence Act, which eliminated the idea that husbands can rape wives, there has been little to no legal report of marital rape in Ghana. This study explored the experiences and perceptions on the factors that lead to the justification of marital rape among Ghanaian-Canadian women. The study adopted a qualitative research approach and a descriptive case study design. The general research question was: What factors influence the justification of marital rape as perceived and experienced by Ghanaian-Canadian married women? A purposeful sampling procedure targeted Ghanaian-Canadian women living in Canada. A total of twenty (20) highly educated women participants within the ages of 28-63 were identified. A case study was pursued using semi-structured interviews. Telephone interviews were conducted with all the participants. The methods of data analysis of the interview data involved transcription, categorization, and coding for major themes. Major themes identified as factors that influence the justification of marital rape include the following: lack of confidence in the Ghanaian judicial system, exaggerated ideas of the effectiveness and ruthlessness of the Canadian judicial system in dealing with marital rape, economic instability, and women's immigration status. Hence, one major factor that helped achieve these findings was the comparative approach the participants identified by relating the Ghanaian society to their host country, which helped to examine differing influences of the identified themes. Ethical consideration to confidentiality and anonymity are demonstrated in this thesis with pseudonyms used for the participants in the discussion of the findings. The thesis concludes with vital recommendations such as the need for further research to uncover the factors leading to the justification of rape from diverse religious and non-religious groups and tribes of diverse nationalities living in Canada, and further research to investigate the support services available within Canada’s provinces and their response to domestic violence, especially with women of colour.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".