Donald J. Feltmate, Building a Better Boat: How the Cape Island Longliner Saved Nova Scotia’s Inshore Fishery by Harry T. Holman
Bibliographic record
Abstract
The Northern Mariner / Le marin du nord decommissioned in late 1945 and scrapped in 1946.The book also relates the after-careers of several principals -Captain Arthur Robinson, Executive Officer William Goggins, Gunnery Officer Nicholas Van Bergen, and the ship's doctor, Corydon Wassell.If this book were only about Marblehead and its crew, this review's conclusion would merely note that this book is a good read.But this work is actually two books in one.Interspersed with the narrative on Marblehead are chapters on the initial stages of the Pacific War and the assault on the DEI.These chapters are accurate and provide good background for Marblehead's service Indonesia and the overall military situation in late 1941-early 1942.This is important, as the assault on DEI has been, until recently, one of the least-written about periods of the Pacific War. It, therefore, makes a valuable contribution to the literature on the Pacific War.Domagalski writes well.The text flows and is augmented by a photograph section showing Marblehead both at sea and under repairs, photos of the main characters, and several valuable maps which illustrate the combat theatre as well as Marblehead's journey.Escape from Java is detailed enough that it will remain a good, brief, reference work on the early Pacific War as well as a good read about a stubborn, tough ship and its equally stubborn, tough, and courageous crew.
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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 | 0.000 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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".