The role of popular music in Montenegro’s national propaganda: from referendum to the “Litije” movement (2006–20)
Bibliographic record
Abstract
This article explores the uses of popular music as a propaganda tool during political events in Montenegro’s recent past. The ruling Democratic Party of Socialists (DPS) employed music as part of their propaganda campaign during the 2006 referendum to gain support for Montenegro’s independence. Patriotic songs, disseminated through state-controlled media and paid advertisements, celebrated a modern, multicultural, independent Montenegrin state. However, after the referendum, important political issues remained unresolved (especially the role of the Serbian Orthodox Church and Serbian–Montenegrin relations in general). Tensions over these culminated after the adoption of the Law on Freedom of Religion at the very end of 2019, which triggered protests throughout Montenegro known as the “Litije.” In 2020, with the ample assistance of the Serbian Orthodox Church, the opposition won the parliamentary elections that ended the rule of the DPS. The propaganda that surrounded the Litije movement relied on music as an essential medium. This time, it conveyed messages calling for a stronger role of the Serbian Orthodox Church in Montenegro and closer political ties with Serbia. By analyzing both periods’ most influential popular songs, the author highlights the intricate interplay between music, popular culture, national narratives, and the ever-evolving political climate in Montenegro.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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 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".