Bibliographic record
Abstract
Mao Zedong played a central role in leading the largest communist revolution in the world outside the Soviet Union and in the ‘creative developments’ or ‘Sinification’ of Marxist-Leninist orthodoxy to suit Chinese conditions. He combined the roles of Lenin and Stalin. The essay traces his rise to power in the Chinese Communist Party between the 1920s and 1949 and his career as leader of the People’s Republic of China from 1949 to 1976, looking at the part he played in key moments, including developments in the Yan’an base area from the late 1930s, the Great Leap Forward, and the Cultural Revolution. The essay examines the central ideas in Mao’s philosophy, such as the primacy of practice, contradiction, rectification, and concern with bureaucracy. It goes on to explore key debates in the historiography and asks what ‘Maoism’ really means. The personality cult around Chairman Mao culminated in outrageous veneration in the 1960s and his memory today elicits strong feelings, both positive and negative. Despite his many mistakes and towering cruelty, he is still widely respected in China, as can be seen from his appropriation in popular culture. His ideas continue to be influential in parts of Asia and Latin America and his image is still invoked by contending interests in China.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".