African Immigrant’s Women Experiences on Extended Family Relations
Bibliographic record
Abstract
African immigrants are increasingly migrating to high-income countries, including Canada, in search of a better life. These immigrants often face several challenges, such as keeping healthy ties with their extended families back home and in a new socio-cultural context. We present findings from a participatory action research (PAR) study of Sub-Saharan African immigrants and refugees (SSAIRs) living in Alberta, Canada. Using the theoretical framework of postcolonial feminism and transnationalism, in this study we investigated how cultural roots and transnational ties affect newcomer transition and integration to provide information on the female perspectives of SSAIRs. The results of the study indicate that maintaining relational ties with one's extended family in the homeland has been highlighted as both a source of support-providing moral, social, religious, and cultural support during the integration processes-and strain, with participants noting its impact on their integration processes, such as delaying the ability to restructure life and to successfully plan their life financially. Our findings outline various implications of the existing gaps and recommendations for policymakers and community stakeholders for future improvement. Overall, our study findings affirm the importance of extended family relations for African immigrants living in Canada.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".