Rule of law, anti‐corruption, anti‐terrorism and militant Islam: Coping with threats to democratic pluralism and national unity in Indonesia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 it