Double Advantage? Violence Against Canadian Migrant Women from “Developed” Nations
Bibliographic record
Abstract
Using a theoretical synthesis based in the Nested Ecological framework, the study examines an anomaly from our previous investigation (Brownridge and Halli, 2002) in which we were surprised to find that immigrant women from “developed” nations have a lower prevalence of violence than Canadian‐born women. Based on a representative sample of 6,581 women, the results of the present study show that the key variables that account for this anomalous finding are at the microsystem level. More specifically, a tendency for partners of immigrant women from “developed” nations to be highly educated, and for immigrant women from “developed” nations to have longer‐term relationships and be less likely to have young children in the home, appear to account for their lower likelihood of violence. These results are placed in the context of the unique situation of immigrants from “developed” nations and a selection hypothesis is articulated as underpinning the results.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".