Hsiao Li Lindsay. Bold Plum: With the Guerrillas in China's War against Japan
Bibliographic record
Abstract
This is a remarkable document. Originally written in 1947 in English while the Lindsays were in Cambridge, Massachusetts – itself no mean accomplishment – it has been twice translated into Chinese and published, but this is its first appearance in published form in English. It tells a fascinating story. Hsiao Li Lindsay was born Li Hsiao Li (Li Xiaoli in the current pinyin system of transliteration) in 1916, the youngest child of a wealthy landowner in Taiyuan, Shanxi Province in North China. Unlike many girls at the time, she received a good education, first locally and later in Beiping (Beijing). From 1937 to 1941, she studied at Yenching (Yanjing) University. One of her teachers was Michael Lindsay, who had arrived at Yenching in 1938 to teach Economics, Logic and Scientific Method. Lindsay was tall and very English – she had trouble following his Oxford accent, which led to extra classes and eventually to a proposal of marriage. They married soon after her graduation in the summer of 1941. It is not clear how much she knew of the full extent of his extracurricular activities, but she soon learned. North China had been occupied by the Japanese since the summer of 1937, but communist guerrilla forces operated in the hills nearby. Lindsay admired the stand that the guerrilla forces made against the Japanese, and, was in contact with them from 1938. As the struggle with the Japanese continued, Lindsay, an amateur radio engineer, smuggled radio parts to them at the weekends and in the vacations and generally helped with communications. This was dangerous but foreigners were still protected by extraterritoriality and the Japanese left Yenching alone, whatever they knew or suspected about the contacts of some of the foreigners. Others involved in supporting the guerrillas included the Canadian, Dr Norman Bethune. Marshal Nie Rongzhen, the commander of the communist forces and later the father of China's nuclear bomb, pays tribute to Bethune, Lindsay and others in his memoirs. The attack on Pearl Harbor, which fell on 8 December 1941 in Beijing, changed all that. The Lindsays and some other foreigners fled just before the Japanese arrived to arrest them, and began what was to be four years with the guerrillas.
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 | 0.001 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".