The Elementary School Teacher, the Thug and his Grandmother: Informal Brokers and Transnational Migration from Indonesia
Bibliographic record
Abstract
This article considers the emergence of informal brokers in the context of an increasingly formalized regime of transnational labour migration from Indonesia. Following the 1997 Asian economic crisis and the fall of the Suharto regime, there has been a dramatic increase in documented transnational migration to Malaysia at the expense of undocumented migration. In this process, a growing number of private agencies have come to control the increasingly deregulated market for migrant recruitment. These agencies, in turn, depend on informal brokers who recruit migrants in villages across Indonesia to work on palm oil plantations and as domestic servants in countries such as Malaysia and Saudi Arabia. This article takes these informal brokers as a starting point for considering the current Indonesian migration regime, using ethnographic data from the island of Lombok. Along with offering a description of brokering practices, the article argues that the dual process of centralization of migration control and fragmentation of labour recruitment has created a space of mediation for individuals who can navigate bureaucratic process while embodying the ethical qualities that convince Indonesian villagers to become migrants.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 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) | 0.004 | 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".