Bibliographic record
Abstract
Early in the war of resistance against Japan, the Chinese military command used a tragic version of scorched-earth tactics: they denied access to the Japanese imperial army to a vast stretch of China not by literally scorching it but by drowning it. In June 1938 the Chinese command turned the ultimate symbol of Chinese civilization, the Yellow River, into a weapon of war. The southern dyke of the River was breached at Huayuankou (Flower Garden Mouth) in Henan, 30 miles to the west of the Japanese vanguard. A cataclysmic flood swept through the breach, killing by the lowest estimate half a million people and turning millions of others into refugees. The breach of the dyke was an attempt at strategic interdiction, to limit the mobility of the Japanese army and stop it moving further west. The waters of the River were to do what soldiers had not been able to do: to halt the Japanese advance. The breaching was a strategic move born of desperation. As the Japanese armies continued their relentless advance across China, sober strategic thinking in the Chinese command gave way to a mood close to panic, in which any conceivable action could be taken to stop the Japanese advance.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.008 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".