Transnational marriage abandonment: A new form of domestic violence and abuse in transnational spaces
Bibliographic record
Abstract
In the West, abandonment within the context of marriage is generally not considered a form of violence against women. In the case of transnational marriages, abandonment of wives across national borders is embedded within a pattern of domestic violence and coercive control exercised over the woman. Additionally, by strategically abandoning their wives in their home country and then filing for divorce in foreign courts, transnationally mobile migrant men can make it almost impossible for their wives to participate in legal proceedings to secure their financial rights relating to child support, maintenance and return of dowry. The impact of abandonment also creates contexts for further forms of violence against women due to the stigma associated with divorce, women’s vulnerability within natal families and issues related to inheritance and residence arrangements within the natal home after divorce. Research conducted in India shows that beyond the various processes of control and individual acts of harm that lead to and outlast the act of abandonment in transnational marriages, abandonment itself constitutes a form of violence against women. It is rooted in and results in gendered devaluation of women and is enabled by gender-blind transnational formal-legal frameworks, which construct abandoned women as an inferior class of citizens and as a category of women who can be abused and exploited with impunity. This chapter explores the issue of transnational marriage abandonment, which has recently been recognised as a form of domestic abuse by family courts in England and Wales.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.008 | 0.025 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.001 | 0.020 |
| Research integrity | 0.002 | 0.005 |
| 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".