Heralds at the Bells: Messages of Hope from West Balkan Bards During the Coronavirus Pandemic
Bibliographic record
Abstract
Between March and May of 2020, a number of guslars (bards) and other traditional singers from Bosnia-Herzegovina, Croatia, Montenegro, and Serbia flooded YouTube with songs about the COVID-19 pandemic. Though the musicians chose divergent vantage points from which to approach the topic of the pandemic, all settled on a similar goal. They sought to deliver a message of solidarity and hope to those struggling with the realities of life under lockdown measures and to allay the fears and uncertainties that spread with the virus. This article provides a critical overview of the guslars’ songs to explore their shared and divergent tropes, themes, and tones, and to highlight the goals of their singers in disseminating their messages in traditional form. Here I comment on what the high degree of convergence in the songs’ final messages reveals about vernacular responses to the pandemic and folk views on the measures taken to halt the virus’s spread. Finally, the article places these songs into a wider historical context of contemporary singing to the gusle, remarking on the vagaries of navigating authority when one sings subjective opinion in the name of a collective.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".