Bibliographic record
Abstract
Автор рассматривает два издания монографии известной белорусской исследовательницы И.Р. Чикаловой, посвященной осмыслению исторического опыта Великобритании в Российской империи в XIX начале XX в. Отмечено, что, не имеющее аналогов исследование дает обстоятельное представление об истории российского англоведения, сумевшего создать разносторонний образ страны в интеллектуальном пространстве Российской империи, воссоздает комплексную картину конструирования представлений и знаний о Британской империи в России. Материалы, собранные и проанализированные в книге, дают возможность для углубления исследований в области дореволюционного российского англоведения. This review is devoted to examination of two new monographs written by famous Byelorussian researcher I.R. Chikalova. The monographs are devoted to consideration of the main trends in the interpretation of the British historical experience in the Russian Empire in the 19th early 20th c. The review notes that the study undertaken by I.R. Chikalova has no analogues and gives detailed picture of the English studies in pre-revolutionary Russia. Russian historians succeeded in portraying a wide-ranging image of Britain in the intellectual space of Russian Empire and in recreating of a complex picture of construing of ideas and knowledge of Britain and, more broadly, of British Empire, in Russia. The author also examined the works of non-English foreign researchers devoted to British history and culture. She focused her attention on history and culture of British settlement colonies in Canada, Australia and New Zealand which got the status of dominions. Materials gathered and considered by Chikalova give opportunity for continuation and deepening investigations of pre-revolutionary British studies in Russia because it demonstrates the huge layer of literature which needs to be reread and reinterpreted.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".