Bibliographic record
Abstract
Ordered to join the Pacific Squadron in 1854, the sloop of war Decatur sailed from Norfolk, Virginia, through the Strait of Magellan to Valparaiso, Honolulu, and Puget Sound, then on to San Francisco, Panama, Nicaragua, and Costa Rica, while serving in the Pacific until 1859, the eve of the Civil War. Historian Lorraine McConaghy presents the ship, its officers, and its crew in a vigorous, keenly rendered case study that illuminates the forces shaping America's antebellum navy and foreign policy in the Pacific, from Vancouver Island to Tierra del Fuego. One of only five ships in the squadron, the Decatur participated in numerous imperial adventures in the Far West, enforcing treaties, fighting Indians, suppressing vigilantes, and protecting commerce. With its graceful lines and towering white canvas sails, the ship patrolled the sandy border between ocean and land. Warship under Sail focuses on four episodes in the Decatur's Pacific Squadron mission: the harrowing journey from the Atlantic to the Pacific Ocean through the Strait of Magellan; a Seattle war story that contested American treaties and settlements; participation with other squadron ships on a U.S. State Department mission to Nicaragua; and more than a year spent anchored off Panama as a hospital ship. In a period of five years, more than 300 men lived aboard ship, leaving a rich record of logbooks, medical and punishment records, correspondence, personal journals, and drawings. Lorraine McConaghy has mined these records to offer a compelling social history of a warship under sail. Her research adds immeasurably to our understanding of the lives of ordinary men at sea and American expansionism in the antebellum Pacific West.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.053 | 0.017 |
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".