Alone in Paradise: Exploring the Intersections of Gender, Ethnicity, Single Motherhood, Social Class, and Immigration
Bibliographic record
Abstract
There is a paucity of research that is centred on cross-cultural transitioning for single mothers who immigrate to Canada. Focusing on the intersections of gender, ethnicity, social class, single motherhood, and immigration increases the understanding of challenges affecting single, immigrant mothers. As part of a qualitative description study, we examined the complex experiences of immigrant women who had navigated cross-cultural transitions and single motherhood through the lens of their intersecting cultural identities and social locations. Purposeful sampling was used to recruit single, immigrant mothers from multiple counselling agencies in a western Canadian city. Content analysis of six semi-structured interviews elucidated the women’s experience experiences of gender and mothering discourses within various social contexts, the impact of intersectionality on their acculturation processes in Canada, their relationships with their children, and the challenges of economic and psychosocial acculturation. One overarching theme that was related to the contrasts between the women’s former world and new world formed a lens through which they made meaning of their lived experiences. Implications for counselling and social services are provided.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.015 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".