Brian Lane Herder, US Navy Armored Cruisers 1890-1933 by Charles Ross Patterson II
Bibliographic record
Abstract
Reviews 519 around the world is at its zenith.If something goes wrong, it goes seriously wrong.Remember the container ship that became lodged in the middle of the Suez Canal in March 2021, its bow stuck in the banks of the world's transport artery?Although the ship was not substantially damaged, the interruption of delivery schedules exposed the vulnerability of world trade.When container vessels get stranded, grounded or lose a large part of their cargo at sea, the result is always messy.The response of governments to these incidents is not always remembered in the halls of fame and ingenuity.After the tanker, Torrey Canyon, struck on Cornish rocks in 1967, the Royal Air Force targeted it with bombs, rockets, and napalm, to try to get rid of the oil.The operation failed dismally, the shores of Cornwall, the island Guernsey, and Brittany in France, endured a black tide of thick oil.It was an unprecedented environmental disaster.Sometimes the public volunteers to help with the clean-up such as the case of the MSC Napoli damaged off the southern coast of England in 2007.From the containers that the ship had lost, the cargo-like food, engine parts, needles, and airbags-was 'saved' by local people, in the tradition of their ancestors, true "wreckers", who had done this for generations.I remember the image of someone pushing a BMW motorcycle up a cliff path.I envied that man.Breaking Seas, Broken Ships is not just about severe weather and lost ships, it is also about personal tragedy and courage, on occasion sprinkled with downright hilarious detail.A joy to read.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.071 | 0.046 |
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".