Touring “Terrorism”: Landscapes of Memory in Post‐War Sri Lanka
Bibliographic record
Abstract
Abstract The Sri Lankan state's power to narrate the war and characterize the enemy is an expression of “triumphalist nationalism” and is a selective remembering of war. Based on photographs taken during several field visits to these sites by both authors between December 2012 and January 2014, we analyze the relationship of war and tourism and how a particular Sinhala nationalist remembering of the war and landscape of memory are being constructed in post‐war Sri Lanka. Today, Sri Lanka is a former war zone where the Government's troops defeated the rebel Liberation Tigers of Tamil Eelam (LTTE or Tamil Tigers) and ended 26 years of violent conflict in May 2009. The end of the war came at a huge cost to civilian life in the northern part of the country; the UN estimates that over 40,000 people were killed, most of whom were Tamils who form the majority in Northern Sri Lanka. Despite the end of military conflict, war continues by other means, and its representation encapsulates a nationalist politics of victory that at once vilifies the defeated LTTE “terrorists” and excludes Northern Tamils from the Sri Lankan polis. The LTTE's former hideouts, training facilities, weapons, and vehicles are now tourist sites on display for public viewing.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".