Branding post-conflict destinations: recreating Montenegro after the disintegration of Yugoslavia
Bibliographic record
Abstract
This paper examines the challenges and opportunities of promoting Montenegro as a destination for sustainable tourism in the post-civil war era of the former Yugoslavia, given the country’s unique status as the world’s only self-proclaimed “ecological state.” There is no denying the recent history of ethnic violence and turmoil that divided the Balkans in the 1990s. Consequently, the incremental return of foreign and domestic visitors to Montenegro, as well as Serbia, Croatia, Slovenia, Macedonia, and Bosnia-Herzegovina, represents a significant return to stability almost ten years after the fighting stopped. And the particular interest of many tourists in the biology and cultural geography of the region makes clear the potential usefulness of “green” branding for Montenegro to distinguish itself from its competitors in the Mediterranean, and to resurrect the country’s political image and visitor appeal through targeted environmental practices and promotions. \n \nThe ability to embellish its “eco” credentials and image through complementary partnerships and policies that sustain both tourism and the nation’s economy would allow Montenegro to strategically and successfully position itself in the Adriatic travel market over the long term. Collaborative management and branding of World Heritage sites and transboundary parks for sustainable tourism will also enable Montenegro, and its former allies and foes, to restore the social and biological integrity and connectivity of a shared landscape severely degraded by a decade of war. In this manner, tourism can be a critical catalyst in overcoming the negative imagery and distrust which still impedes the Balkan’s ability to achieve greater political integration and prosperity in an increasingly unified Europe.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".