ЕРНЕСТ ДЕНИ И СРБИ : О „НАЈВЕЋЕМ ПРИЈАТЕЉУ СЛОВЕНАˮ ПОВОДОМ СТОГОДИШЊИЦЕ СМРТИ ERNEST DENIS AND SERBS: ABOUT “THE GREATEST FRIEND OF THE SLAVSˮ ON THE OCCASION OF THE CENTENARY OF DEATH
Bibliographic record
Abstract
The work of Ernest Denis (1849–1921), a historian, professor and diplomat, is embedded in the idea of the “eternal friendship” between the French and the Serbs. However, one hundred years after his death, the man, in whose house in the Latin Quarter there is L’Institut d’études slaves within Sorbonne University, is unknown to the broader public. In the interwar period, Denis, who from 1912 was also a member of the Serbian Royal Academy, was respected as the “advocate of the subjugated people” and “the greatest friend of the Slavs”. However, after 1945, his work sank into oblivion, except for historians and history buffs. The aim of this paper is to shed light on the work of this French intellectual, based on archival records (Les Archives nationales de France – Site de Paris), the press, his works and memories of his contemporaries. The revaluation of the personality and work of Ernest Denis on the occasion of centenary of his death, is a chance to piece together the mosaic of remembrance and highlight the activities of the present-day L’Institut d’études slaves at Sorbonne.
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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 | 0.001 | 0.003 |
| 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 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".