Bibliographic record
Abstract
Near the end of World War II, in an attempt to attack the United States mainland, Japan launched its fu-go campaign, deploying thousands of high-altitude hydrogen balloons armed with incendiary and high-explosive bombs designed to follow the westerly winds of the upper atmosphere and drift to the west coast of North America. After reaching the mainland, these fu-go, the Japanese hoped, would terrorize American citizens and ignite devastating forest fires across the western states, ultimately causing the United States to divert wartime resources to deal with the domestic crisis. While the fu-go offensive proved to be a complete tactical failure, six Americans lost their lives when a discovered balloon exploded. Ross Coen provides a fascinating look into the obscure history of the fu-go campaign, from the Japanese schoolgirls who manufactured the balloons by hand to the generals in the U.S. War Department who developed defense procedures. The book delves into panic, propaganda, and media censorship in wartime. Fu-go is a compelling story of a little-known episode in our national history that unfolded virtually unseen.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".