The Securitisation of Sri Lankan Tourism in the Absence of Peace
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
The military conflict in Sri Lanka may be over officially, but conflict continues as a ‘war without sound’ (community informant, Mullaitivu 2013), or as war by other means (Dahlman 2011). In the absence of peace and reconciliation, but the presence of economic growth, development by stealth proceeds. Much has been written about the militarisation of civilian life in Sri Lanka (Kadirgamar 2013; David 2013), but this paper focuses specifically on how militarisation has proceeded with little public protest or pushback. The political work accomplished by ‘securitisation’ is used to gain consent and create new space and capacity for state security measures and militarisation. This paper recasts the connections between security, peace, and development in post-war Sri Lanka, drawing on fieldwork in one area that connects all of these projects: tourism. An analysis of ‘war tourism’ in Sri Lanka shows how it reproduces threats to Sri Lanka’s security at the same time that it celebrates military victory and might. Tourism encapsulates economic, security, and development agendas in very specific ways. Tourist sites mobilise fear of potential terrorism and return to the rule of the Liberation Tigers of Tamil Eelam (LTTE), if vigilance and militarisation are not maintained. In such a context of risk, development is best done by the military. Within this logic of securitisation, militarisation becomes a common sense approach. How is this common sense produced? The securitisation of development is vivid in the post-war context of Sri Lanka, inextricably tied to neoliberal imperatives to convey a democratic, stable country that is open to and good for business.
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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 | 0.008 | 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 | 0.000 | 0.000 |
| 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