The Struggle for Commemorating the World War I Centenary as an Illustrative Example of the Attitudes Towards That War in Croatia
Bibliographic record
Abstract
The commemoration of the World War I Centenary (2014–2018) was the most important social event in the last decade in the developed countries of Western Europe, especially Britain and France, and in the former British dominions, Canada and Australia. In contrast to these victorious countries, the countries defeated in the war (primarily Germany and Austria) had a significantly more modest and different approach to the commemoration. The emphasis was on all war victims, soldiers and civilians, regardless of which side of the war they had fought on. Since Croatia, as a former part of Austria-Hungary, found itself in a completely new state union after it was united with the Kingdom of Serbia after the war, veterans were ill-advised to mention their participation in the war on the wrong side. It was no better after the end of World War II, when one victor's narrative replaced another, and made the mentioning of formerly existing monarchies completely unacceptable. All these facts influenced attitudes towards World War I, which was almost completely forgotten in Croatia over time.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.014 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".