David E. Johnson and Gary Guinn, Midwatch in Verse: New Year’s Deck Log Poetry of the United States Navy, 1941-1946
Bibliographic record
Abstract
The Northern Mariner / Le marin du nord In the book's final essay, Hughes places these wide-ranging events in perspective: "There are no monuments on the ocean, no crossroads in the great waters, no places echoing in the heart and mind like Gettysburg, Shiloh, or Chickamauga.… Names that resonate are long-gone ships such as Alabama, Kearsarge, Florida, Shenandoah.The mostly unknown men who sailed them carried the conflict to the ends of the earth through every extreme of sea and storm with no less conviction than land-bound compatriots.They struggled and fought and suffered even when the enemy was more often Neptune's wrath and Aeolus's breath.There were very few of them, comparatively speaking, but they had impact well beyond their numbers."(p.281).The collected essays that comprise the book are four-to-six-page vignettes that ramble like a literary slide show.Editors of a collection of essays usually attempt to make the writing appear uniform, but this compendium is at times a little uneven.Still, this ambitious work appends little-known obscure heroes, background events, and battle stories to the better-known elements of the Civil War's maritime history by craftily coloring both sides of conflict.This reviewer therefore recommends The Civil War on the Water: Favorite Stories and Fresh Perspectives from the Historians at Emerging Civil War to any "Civil War buff" without reservation.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".