Assessing the impacts of conflicting gender ideologies on domestic violence: a case study of Nigerian-immigrant women in Canada
Bibliographic record
Abstract
The thesis investigated how conflicting gender ideologies influenced Nigerian-immigrant women's experiences of domestic violence in Canada. Nigeria, the participants' country of heritage, practices patriarchal social stratification while Canada, the country of current residence, has egalitarian structures. Using a qualitative research orientation and non-probability purposive snowballing sampling procedures with ten (10) Nigerian immigrant women to Canada, data collection procedures involved electronic phone interviews. The data analysis process involved transcription, categorization, coding, and theme generation by the researcher. The nine major themes identified that the study participants experiences a change or shift in gender ideologies towards more egalitarian ideologies while some of their partners did not experience the same change, thereby resulting in conflicting gender ideologies that influenced their experiences of domestic violence. The thesis concluded with recommendations for culturally sensitive services that combat domestic violence, and ease adjustment into Canadian communities for the study participants and immigrant women in general.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.045 | 0.009 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".