Thomas C. Hone and Curtis A. Utz, History of the Office of the Chief of Naval Operations 1915-2015
Bibliographic record
Abstract
Reviews 291 fought three naval wars.Each side, well led by experienced officers, focused on an offensive strategy deploying heavily armed, technologically advanced ships, directed by well-organized administrative structures, which were called to address complex logistical challenges.The remaining essays in this section touch on the continuing wars of the eighteenth century with one notable exception.While it fits into this time period, Hattendorf alters course slightly here, offering a well-crafted essay on the extraordinary career of Admiral of the Fleet James, First Baron Gambier, GCB.In Part 5, "Maritime History of, at, and near Newport, Rhode Island," Hattendorf displays his talents, not only as one of America's premier naval historians, but also as a scholar closely attuned to his community of Newport, Rhode Island, and the institution he has served so well, the United States Naval War College.While most of these essays have been published elsewhere, the Naval War College Press has done an extraordinary service bringing them together in one place.Beyond this collection, Hattendorf has been central to the Press's overall success in this series, serving as editor for seven previous volumes.Indeed, recognizing his role, Volume 26 in the series bears his name, The Hattendorf Prize Lectures.While impressive, Reflections on Naval History represents only a portion of Hattendorf's work, and, according to the bibliography, at least two more essays are forthcoming.Since all reviews need some modicum of criticism, maps and illustrations would have been useful.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.016 | 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".