John P. LeDonne. <i>Forging a Unitary State: Russia’s Management of the Eurasian Space, 1650–1850</i>.
Bibliographic record
Abstract
John LeDonne has spent a lifetime of scholarship in developing the central thesis of this book. In his view, Russia, in the period he has selected, should not be considered an empire but a unitary state. This is where the terminological confusion begins. At one point he states the idea that empire “cannot be defined” (366). Yet he concludes that “Russia did create an empire in the first half of the nineteenth century only gradually but in order to transform it eventually into an extension of the unitary state” (564). He defines “unitary state” as the gradual but systematic pursuit by a centralized government of policies to harmonize and integrate “the administration of justice, of tax collection, of economic management, and even, if possible, religious unification;” it “creates its own territorial divisions, determines their number and boundaries, their authority and the scope of their operations” (8). This is a highly structured book. It is divided into three parts, each one determined by its geographic features: “The Western Theatre: The Struggle for Northwestern Eurasia,” “The Southern Theatre Reaches the Sea,” and “The Eastern Theater: The Advance toward the Mountains.” Each part is subdivided into three roughly parallel chronological sections: “Laying the Foundations;” “Full Integration” (or “Toward Full Integration” or “The Progress of Integration”) and “Unitary State or Empire?” with conclusions for each.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.007 |
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".