When All Could No Longer Be Equal in Death: A Local Community’s Struggle to Remember Its Fallen Soldiers in the Shadow of Serbia’s Civil War, 1955-1956
Bibliographic record
Abstract
In the spring of 1956, a plaque was hung in the Orthodox Church in the village of Brezna, located in western Serbia. On it were carved the names of local men who had been killed fighting during the Second World War. However, contrary to Communist policy, the list included not only those who had fought with the Communist-led Partisan resistance movement, but also those they had fought against, the Chetniks. Based on archival documents, the contemporary press, and interviews with local residents, this essay reconstructs the experience of the war years in this region, the factors that led to the hanging of the plaque, and the consequences faced by the village priest for its creation. The purpose is to examine how a local community, composed of combatants and their families from both sides of the wartime and postwar ideological divide, dealt with the mandate to simultaneously remember and forget the war dead. The main argument is that the incident in Brezna was a clash between traditional local practices of inclusive commemoration of the war dead and new exclusionary forms that emerged after the Second World War, due to the fratricidal nature of wartime violence, which were supported by Communist political elites as well as many local villagers.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.041 | 0.016 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".