Evangelia Tastsoglou and Alexandra Dobrowolsky, Eds. Women, Migration, and Citizenship: Making Local, National, and Transnational Connections
Bibliographic record
Abstract
Evangelia Tastsoglou and Alexandra Dobrowolsky, eds. Women, Migration, and Citizenship: Making Local, National, and Transnational Connections. Aldershot, England: Ashgate Publishing, 2006. 258 pp. $99.95 hc. This collection is a critical examination of migrant women's citizenship in the contemporary context of globalization, high migration, and security concerns. The case studies provide a global perspective of migrant women who fall within and outside citizenship protections and the nation-state. The authors are concerned with discrimination towards women, women's response, and the implications for women's accommodation and resistance to oppression. The authors argue that although migrant women experience substandard citizenship rights, migrant women are also active human agents challenging gender-based roles and nation-based notions of membership. In the first chapter, the editors, Evangelia Tastsoglou and Alexandra Dobrowolsky, provide a useful overview of academic literature concerning the three central concepts of the book, citizenship, migration, and gender, with particular attention to their interconnections. The authors also describe their conceptual framework, one that combines conceptual/analytical and spatial elements (e.g., macro/meso/micro, structure/agency, migration as a process) using a feminist lens. In chapter 2, Ann Denis uses the example of Caribbean immigrant women in Canada to demonstrate the necessity of a feminist reconceptualization of citizenship. The author argues in favor of an irreducible core within citizenship that ensures the same citizenship rights for women as for men, as well as recognition of women's rights as individuals and as members of a collective. Chapter 3, by Pauline Barber, examines the case of Fillipino women's labour migration to Canada and argues in favor of a flame of reference in citizenship discourse and technology to account for transnational affinities and connections. The author demonstrates that social policy in Canada (i.e., immigration, multiculturalism) fails to capture the complexity of immigrant identity and cultural politics, instead focusing on integration and neo-liberal economic agendas. In chapter 4, Janet Salaff and Arent Greve draw on their study of one hundred Chinese immigrants in Canada to argue that institutional theories that explore the social structure of the labour force best explain the employment experiences of immigrants. The author demonstrates how human capital theories that focus on the individual and her/his background fail to account for systemic barriers to employment. Kerry Preibisch and Luz Santamaria, in chapter 5, provide a gendered analysis of the migrant labour system in Canada. Based on interviews and policy analysis, the authors demonstrate how the migratory labour system in Canada reinforces gendered social relations of dependence and dominance while simultaneously creating opportunities for women to challenge gender-based roles. …
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".