Bibliographic record
Abstract
This chapter begins the narrative of Mao Zedong's political career and covers the first half of his long life. At the end of the period covered by this chapter, Mao had become the leader of the remnants of a party that had just survived its second virtual extermination and had to adjust to the new environment and people of northwest China, as well as to the new threat of Japan. It might seem, therefore, that the “early Mao” would be interesting only as a prelude to his later career – the time when he was waiting in the wings of history's stage. But Mao's successful leadership of China's rural revolution was not a lottery ball coughed up by chance or by deep historical processes. Essentially, the foundations of Mao Zedong's political thought were laid by 1937. Although his immediate problem in 1937 was war against Japan and consolidation of his leadership rather than class struggle in the villages, rural revolution returned as the main driver of the Civil War with the Guomindang from 1945 to 1949. The task of this chapter is to analyze the development of Mao Zedong as a political actor from his initial socialization into the total chaos of early-twentieth-century China through his survival-driven origination of rural revolution to his reformulation of revolutionary leadership in the aftermath of the Long March. Despite the desperate situation in 1937, Mao faced his new beginning in Yan'an with a confidence built on the solid foundation of his earlier experiences.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.001 | 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".