"I want to find a better place" : Assyrian immigrant women and English-language acquisition
Bibliographic record
Abstract
Canada's point system has helped ensure that many immigrants, both men and women, are fluent in English upon arrival (Kilbride et. aI, 2008). Consequently, research has indicated that those who enter as sponsored or dependent family members, the majority of whom are adult women, arrive with limited fluency in English. A qualitative research approach, including two focus-group interviews with seven Assyrian immigrant women helped identify factors that have stymied or facilitated their successful acquisition of English. Conceptualizing the relationship between the language learner and the social world, a feminist poststructural theory (Weedon, 1997) provided a glimpse into the ways in which proficiency or, lack thereof in English has impacted the lives of Assyrian immigrant women in the areas of work, family and well-being. The findings suggest there are needs specific to each ethno-linguistic group and that a one-size-fits-all approach in English programming does not help address these differences.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".