The Limits of the Multiple Institutionalization of Border Control: A Case Study of Immigration, Customs, and the Indonesian Maritime Security Agency in Batam, Indonesia
Bibliographic record
Abstract
This article explores the limits of the multiple institutionalization of border control within the context of the Singapore-Johor-Riau Islands (SIJORI) interregional border, providing a detailed examination of three border control institutions, i.e. immigration, customs, and the Indonesian Maritime Security Agency (BAKAMLA: Badan Keamanan Laut Republik Indonesia ) in Batam, Riau Islands Province, Indonesia. This article asks why, in a region with high institutional density and rapid economic growth, illicit practices remain omnipresent, and finds that this stems from incompatible border institution design and overemphasis on individual organizational interests. We find that individual institutions' tendencies to focus on their own goals compromises the common goal of security that justifies their presence. This has been exacerbated by the historical legacy of sectoral egotism that continues to divide Indonesia's public institutions.
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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 | 0.001 | 0.001 |
| 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 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".