Modern English Historiography of the Communist International: A General Overview
Bibliographic record
Abstract
The article is devoted to the analysis of the 21st-century English-language historiography of the Communist International. Contemporary historians are showing increasing interest in the study of this international organization. Three available conceptual approaches to this topic (“traditionalist”, “revisionist”, and “post-revisionist”) are considered and characterized, the works of historians from Great Britain, the USA, Canada, Ireland, Australia, New Zealand are analyzed. The article demonstrates an increase in research interest in the Communist International. In a fairly large volume of studies, there are monographs and articles devoted to the organization both directly (the historiography of the Comintern, the activities of its sections around the world, etc.) and indirectly, i.e., to related issues such as the history of communism, in particular, and the left forces, in general, international relations of Soviet Russia, the communist movement in individual countries, etc. These studies touch on the period of the Comintern's activity from 1920 to the end of the 1930s, including several controversial issues: the impact on the policy of the national communist parties of the “The Twenty-one Conditions”, united front tactics, Bolshevization, Stalinization, and the Popular Front. The author believes that most of the studies (especially those published in the first decade of the 21st century) are based on studies published long before the 2000s, however, archival materials are being used in increasing volumes, which makes modern research more objective. This gives grounds for a conclusion about the revision of the historiographic tradition of the Comintern that existed in the 20th century: new approaches (“revisionist” and “post-revisionist”) entailed a change in emphasis and a revision of some established points of view. Authors adhering to these approaches rely mainly on modern literature (including Russian) and a wide source base represented by materials from both national archives and the Russian State Archives of Social-Political History.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".