Assessments by modern English-speaking historians of the policy of the Comintern in Africa
Bibliographic record
Abstract
The article analyzes the modern English-language historiography of the policy of the Communist International towards the African region. The choice of English-speaking countries is due to the fact that a significant number of studies devoted both directly to the activities of the Comintern in relation to Africa and the activities of its African sections are published in the USA, Great Britain, Canada, Australia, South Africa and India. The relevance of this topic is caused both by the opening of new funds of the Russian State Archive of Socio-Political History (RGASPI), which, among other things, affect the activities of African communist parties, and the opportunity that arose in connection with this to rethink some issues, including those related to the policy of these communist parties: what was the influence of the Comintern on their tactics; what was the nature of this influence; what role in the policy of the Comintern was occupied by the national and colonial questions and what are the results of their implementation. It is stated that the traditionalist approach to the analysis of the activities of the Comintern and its national sections, which took shape before and during the Cold War, is still significantly represented in English-language historiography. However, the final approval of the new approach (“revisionist”) contributed to a certain revision of existing trends: the article contains assessments of both negative and positive influence of the Comintern on individual communist parties, on the political situation in a country or region.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".