Indonesia’s Promotion of Un Migrant Protection Norms in Asean
Bibliographic record
Abstract
Scholars have devoted insufficient attention to Indonesia’s foreign policy on migrant worker protection, especially as mobilized in multilateral institutions. This article addresses such knowledge gaps by analyzing why Indonesia has, for almost two decades, persistently promoted the United Nations Migrant Worker Convention in the Association of Southeast Asian Nations (ASEAN) despite constant pushback from migrant-receiving countries. It argues that Indonesia’s persistence is driven by its locally constituted meaning of migrant worker rights. In particular, this article advances the critical norms approach in international relations to demonstrate that its interpretation is influenced by “Indonesia’s normative baggage,” or past experiences with labour migration that have too frequently dealt with the exploitation of Indonesian citizens abroad. This normative baggage in turn shapes the country’s diplomacy and promotion of convention standards deemed appropriate for safeguarding Indonesian migrants in ASEAN. In presenting the argument, this article contributes to the study of labour migration by scrutinizing Indonesia’s foreign policy on migrant protection and unpacking norm interpretation processes that are necessary in international negotiations.
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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 | 0.004 | 0.003 |
| 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 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".