Bibliographic record
Abstract
The title of the book—probably foisted on the author by the publisher—includes ‘Putin’, ‘clash’, ‘war’, ‘civilization’ and ‘nexus’, so readers may be excused for thinking that this is yet another exercise in Russia bashing: long on emotions and speculation but short on facts and analysis. This is certainly not the case. There are not many authors who are as well qualified to cover the subject of Crimea as Constantine Pleshakov. He is a third-generation Crimean. After graduating from Moscow State University's department of Chinese history, Pleshakov joined the Institute for US and Canadian Studies in 1982. In 1995 he was invited to teach in one of the US colleges and subsequently became a naturalized citizen of the United States. In his new book, Pleshakov pursues two principal subjects, namely an in-depth description of Crimea, providing a good coverage of all relevant elements and, equally well presented, a devastating evaluation of western, particularly US, policies in the region. The numerous embarrassing statements and policies of western politicians quoted by the author are revealing and well footnoted. Pleshakov's matter of fact criticism of the US and its exceptionalism is fair.
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 | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.019 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".