Bibliographic record
Abstract
In Western historical memory, the Crimean War is associated with the Charge of the Light Brigade, Florence Nightingale, and the end of the age of sail and the beginning of modern war journalism. In recent decades, historians have tried to go beyond this all-too-familiar picture by exploring the global dimension of this conflict or by telling its story from the Russian, or the Ottoman, perspective. Mara Kozelsky’s thoroughly researched and archival-based monograph Crimea in War and Transformation contributes significantly toward a more comprehensive understanding of one of the most important wars of the nineteenth century. Unlike many Western historians, she refuses to follow the well-trod path that took the French and the British soldiers to victory by way of Alma, Balaklava, and Inkerman. Nor does she have much to say about the efforts of the defenders of Sevastopol that have traditionally interested the Russian authors. Instead, Kozelsky offers “a study of the relationship between war and the social construction of landscapes” (11). The main character of her account is Crimea itself and its ethnically and religiously diverse civilian population under the traumatic and transformative impact of the war.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.006 |
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".