“We Sent Our Sons across the Seven Rivers”: Tracing the Migratory Network and the Risky Migration of Bangladeshi Fishermen to Oman
Bibliographic record
Abstract
This chapter highlights the pivotal role played by the recruitment networks at a very local and informal level. Bangladeshis are now, in Oman, the most important community of migrants among South Asians. Among them are fishermen, which represent a paradigmatic example of the difficult situation that low-skilled migrants can face when migrating to the Gulf states. Based on fieldworks in Hatiya, a small island in the Bay of Bengal from where these fishermen are originating, and in several harbours of Oman, the different mechanisms that make migration a very risky gamble for these men are highlighted. From the recruitment process through local networks, the conditions of life and salaries, the unavoidable path to an irregular status, and, eventually, the arrest and deportation of most of these workers, the chapter shows how, structurally, this migratory corridor almost always leads to failure and increased poverty.
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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 | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".