The Role of Fear and Memory in West Papua’s Ethnonationalist Conflict
Bibliographic record
Abstract
In the West Papua conflict, fear fuels both Papuan ethnonationalist and Indonesian nationalist sentiment. We argue that this reciprocal fear and memoria passionis plays a significant role in fuelling political violence. On the one hand, it provokes Papuan activists to respond violently to Indonesian military operations. Fear of losing future generations of indigenous Papuans has strengthened their identity as Papuans and encouraged them to join armed movements against Indonesia. On the other hand, fear of West Papuan independence leads the Indonesian military and police to conduct operations against members of the Free Papua Movement and affiliated groups and other activists not in the independence movement. This results in a "reciprocal fear-fuelled nationalism," whereby Indonesian security forces and Papuan separatist activists are drawn into increasing conflict. In this context, fear becomes institutionalized and socially constructed. By understanding the unending violent conflict in Tanah Papua as related to the transfer of emotions across generations, it becomes clear a military operations approach will not be effective in the long term. Non-violent approaches, especially dialogue with separatist groups, will be more effective in breaking the chain of violent memories, resulting in more positive outcomes for conflict resolution in Papua. Learning from negotiations between the government of Indonesia and the Free Aceh Movement in 2005, we support the proposition that dialogue is the best entry point by which to end this prolonged separatist armed conflict.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".