The Counter Geographies of Globalization: Women's Labour Migration along the Nepal–Persian Gulf Migratory Corridor
Bibliographic record
Abstract
Introduction Although migration to India has remained an important source of people's livelihoods in Nepal for years, migration trends beyond India have massively increased in recent years with over 500,000 Nepalese migrating abroad for employment annually (ILO, 2018). A large segment of this migrant population comprises women who originate mainly from Nepal's small rural villages, where most people have adopted traditional mixed livelihood strategies that combine subsistence farming, livestock, and the extraction of local natural resources. The entrenched patriarchy and its various forms of gender-based discriminations and violence, and the penetration of the unregulated global markets even in the smallest of the villages are exerting a tremendous pressure on women's traditional livelihoods, lifestyles, and aspirations that now demand a monetary mode of production while most Nepalese women have been traditionally engaged in informal agricultural sectors and unpaid care and domestic work. The traditional, informal work that women perform does not get recognized even as ‘work’ in society, let alone monetarily paid. There is thus a disjuncture between the mode of production that Nepalese women have been traditionally involved in and the capitalist monetary mode of production required to address the transformed realities wrought by globalization. This disconnect operates as a powerful catalyst for pushing women out of the villages. Succinctly, Nepalese women's outmigration is a phenomenon resulting from an interplay between various intersecting and interlocking pre-existing systems of oppressions and the newly emerging pressures from global markets and climate change. In such a situation, migration has become a key survival strategy for many Nepalese women, despite the legal and institutional barriers created by the state to contain their mobility and the sociocultural stigmas associated with women's migration for work. It should, however, be noted that for women's migration to happen, there is a simultaneous ongoing twin process, the process of women becoming politically aware of the systems of domination on the one hand and their agentic responses and resistance to those systems on the other. Against the backdrop of the rapidly shifting socio-economic structures spurred on by globalization, this chapter focuses on the phenomenon of women's labour migration along the Nepal–Persian Gulf migratory corridor. Three dimensions of women's labour migration constitute the key contents of the chapter. First, I examine how the fast-paced outmigration of Nepalese women from the country's previously isolated rural spaces has created new spatialities of migration and distinct forms of governmentality.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".