BIOPOLITIK DAN KRISIS KEDAULATAN DALAM NOVEL LAMPUKI KARYA ARAFAT NUR
Bibliographic record
Abstract
This research aims to analyse the biopolitics and sovereignty crisis in Arafat Nur’s novel, Lampuki (2011). The method used in this research was the literary method with data collection, which was by utilising the listening and dialectical methods. This research used Giorgio Agamben’s biopolitical theory. The results indicate that the biopolitical transformation of the Achehnese society to the Indonesian state moved into the inclusion process from zoe to bios. However, there are research gaps in the area of inclusion, namely bare life. The Achehnese were not automatically brought into a new political order, but they were circling the area between inclusion and exclusion as well as the politicisation of life. In addition to the past history, the sovereignty crisis occurred and was officially declared by the government. As a consequence from the state of exception, the homo sacers in the novel, Lampuki tend to be civilians. The novel does not merely re-present past conflicts, but also implicitly shows root causes of conflict from biopolitics. Keywords: Biopolitics, State of Exception, Homo Sacer, Novel Lampuki.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".