Intersections of Culture, Migration and Intimate Partner Violence as Told by Migrant Youth
Bibliographic record
Abstract
Like many other western nations, New Zealand has experienced significant migration since the mid-1980s. According to the most recent census, roughly one out of every four persons living in New Zealand is foreign born. The significant number of migrants to New Zealand of Asian and Middle Eastern ancestries has led to the development of rich and diverse ethnic enclaves. However, young people from these communities experience significant pressures to assimilate into western culture, which sometimes clash with parental desires to perpetuate cultural traditions. Drawing on 10 small group interviews conducted with 11 adolescent and 16 young adult female interviewees of Asian and Middle Eastern backgrounds in Auckland, New Zealand, this study examines how participants traverse culturally prescribed gender roles as they relate to intimate partner violence (IPV). Emergent themes from the study address participants’ conceptualization of IPV, processes of learning IPV, and pressures to follow rigid gender-roles tied to IPV that are culturally embedded. The article closes with discussion on interpretation of research findings without perpetuating an Orientalist framework.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.013 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| 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 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".