Discipline and Empower: The State Governance of Migrant Domestic Workers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
How do states manage their populations? Some scholars see the state as primarily governing through punishment, but how might the state engage in other forms of disciplining subjects? I address these questions by exploring the state management of labor migration through interviews and participant observation of compulsory government workshops. I look at the case of Filipino domestic workers in Arab states. States are said to exercise bio-power when they market and discipline migrants to be competitive and compliant workers, in the process ignoring migrant vulnerabilities. In contrast, this article establishes that sending states attend to migrant vulnerabilities. In addition to bio-power, states also exercise pastoral power, caring for the well-being of migrants through the creation of labor standards, regulation of migration, and education policies. This analysis extends our understanding of the state management of migration as well as the state management of populations as it advances Foucault’s discussion of the exercise of power.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| 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 it