Ivan IV et la consolidation du pouvoir muscovite dans l'historiographie russe du XIXe siècle
Bibliographic record
Abstract
Tsar Ivan IV, commonly known as Ivan the Terrible, rapidly became a symbol of Russian national identity. From the creation of the Russian Empire by Peter the Great, Ivan became recognized as the leader who consolidated Muscovite territory in the 16th Century and centralised his power against the whims of an elite which sought to preserve their privileges. However, the construction of this historical narrative was a long process, limited by the paucity of the sources as well as certain state conventions. This thesis aims to analyse how the four key historians of the Russian Empire assembled historical knowledge on Ivan IV. The writings of Nikolai Karamzin, Sergei Soloviev, Vasilii Kliuchevskii and Sergei Platonov are examined in order to understand the process that forged historiographical knowledge on the second part of Ivan's reign, which was characterised by the cruelty as well as the consolidation of his power. This analysis outlines the influence that personal experiences, beliefs and socio-political context had on the way these historians interpreted this period, which was crucial to the emergence of the modern Russia state.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".