Rule of law, anti‐corruption, anti‐terrorism and militant Islam: Coping with threats to democratic pluralism and national unity in Indonesia
Bibliographic record
Abstract
Abstract: President Yudhoyono, Indonesia's first directly elected president, was swept into office on a wave of popular support, but was faced with a formidable array of challenges, each demanding a prompt and effective response. Among the most immediately pressing, calling for crisis management, were: first, the need to assert political control and to build an effective political coalition; second, the need to secure grass‐roots democracy by ensuring that regional elections were effectively carried out; third, the need to cope with the Aceh tsunami crisis and achieve a peaceful reconciliation with the Free Aceh Movement; and fourth, the need to resolve a series of socioeconomic policy ‘growth versus equity’ dilemmas, to attract foreign investors to stimulate export‐led growth, while securing basic needs and anti‐poverty social programmes. After briefly noting how Yudhoyono and his administration responded to these immediate problems during its first 20 months in office (to June 2006), the paper then discusses at greater length three more fundamental and intractable sets of problems, namely, the urgent need to implement judicial and administrative reform, and to launch a wide‐ranging anti‐corruption campaign; the need to confront the resurgence of militant Islamic terrorism, both inter‐communal and al‐Qaeda‐inspired, and to mount a robust anti‐terrorist campaign; and finally the intense and convoluted problem of inter‐sectarian animosities, and the clash of religious versus secular values, the reconciliation of which will be absolutely critical to securing social stability, democratic pluralism, national unity and Indonesia's futurity.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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".