Biyyaa Baanus Biyyi Nu Keessaa Hinbaatu: Changing Gender Norms and Traditional Mediation Impacts on Marriage Among Ethiopian Immigrants in Three Southwestern Ontario Cities
Bibliographic record
Abstract
Abstract Immigrant spouses face culture shock in the host countries because they are disconnected from their social fabric and, at the same time, must adhere to the host countries' lifestyles. One of the immigrants' spouses' challenges is the marital conflicts that arise because of changing gender norms in the host countries and the absence of family support to solve their conflicts. The purpose of this study is to examine changing gender norms and traditional meditation's impact on marriage among Ethiopian immigrants living in Kitchener, Waterloo and Guelph. The study asks overarching research question: what is the impact of changing gender norms and traditional mediation on marriage among Ethiopian immigrants? The study was guided by a constructionist epistemology to understand participants' beliefs and patterns of changing norms and traditional mediation's impact on marriage. A qualitative design and semi-structured interviews were used to collect data from five married and divorced male and female participants. Thematic analysis was used to identify and analyze themes and patterns of changes. Findings highlight that marital relationship can be under constant tension with changes in gender norms. However, culturally constructed male-dominant norms can prevent men from acknowledging and adapting to changes. Couples also seek traditional mediation to ease the strain caused by shifting power in relationships. This study discusses implications for social work practice.\nKey Words: Changing gender norms, traditional family mediations, immigrant male dominance gender norms, women empowerment, marital conflicts.
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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 | 0.000 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".