Harry Spiller (ed.), Navy Corpsmen in the Vietnam War: 17 Personal Accounts by Charles Ross Patterson II
Bibliographic record
Abstract
The Northern Mariner / Le marin du nord book.This may include gathering some information on Union and Confederate commanders, and filling any knowledge gaps about the distinction between ships clad in iron, tin, and wood.Another option is reading some of Smith's other books to gain that background knowledge.The sources, both primary and secondary, for After Vicksburg are extensive.The use of secondary sources written by other Civil War scholars provides a well-rounded history of the naval battles in the larger Civil War.There are also informative histories of contemporary maritime travel on rivers within the United States.Primary sources incorporate United States Naval reports, Congressional reports, papers of the Confederate States of America, papers and memoirs of Union commanders, and the papers of Andrew Johnson.Additionally, Smith refers to a multitude of newspapers spanning the warring nation.Though some readers may get bogged down with the details, this should not deter them from reading After Vicksburg.It is well worth some advance research to appreciate the conflict of the Western waters.Smith gives these Civil War battles the treatment they deserve.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.040 | 0.014 |
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".