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Record W2023576630 · doi:10.1353/cwh.2011.0071

Do They Miss Me at Home? The Civil War Letters of William McKnight, Seventh Ohio Volunteer Cavalry (review)

2011· article· en· W2023576630 on OpenAlexaboutno aff
Matthew E. Stanley

Bibliographic record

VenueCivil War history · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsSpanish Civil WarWifePortraitAmateurHistoryAppealLawClassicsRelocationPolitical scienceArt historyArchaeology

Abstract

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Reviewed by: Do They Miss Me at Home? The Civil War Letters of William McKnight, Seventh Ohio Volunteer Cavalry Matthew E. Stanley Do They Miss Me at Home? The Civil War Letters of William McKnight, Seventh Ohio Volunteer Cavalry. Eds. Donald C. Maness and H. Jason Combs. Athens: Ohio University Press, 2010. ISBN 978-0-8214-1914-4, 286 pp., cloth, $38.00. The story of the Civil War, an era of prolific letter writers and wordsmiths, is wholly incomplete without the vantage points and voices of common people. Donald C. Maness and H. Jason Combs have contributed another first-rate published primary source that is certain to appeal to amateur and professional historians interested in Civil War Ohio and the Ohio Valley, wartime combat operations in Kentucky and Tennessee, and the western theater in general. Most notably, however, this volume of over one hundred letters, mostly from William McKnight to his wife, Samaria, underscores the centrality of personal correspondence and the written word to ordinary [End Page 290] families and common soldiers and offers a revealing portrait of the day-to-day activities of a Union soldier. Having settled in the southeast corner of Ohio in 1836 after emigrating from Scotland via Canada (where William was born), the McKnights experienced the movement and relocation so common to the Middle Western families before the Civil War. A blacksmith and family man, William McKnight enlisted in September 1862 and was promoted to sergeant two months later, then achieved the rank of second lieutenant in April 1864, before being mortally wounded at Cynthiana, Kentucky, later that year. As part of the 7th Ohio Volunteer Cavalry, nicknamed the "River Regiment," McKnight saw action in central Kentucky and eastern Tennessee and reacted with anger as Gen. John Hunt Morgan and his Confederate raiders invaded southern Ohio and passed through his hometown. His letters explicate his thoughts on skirmishes and battles, terrain and the southern landscape, and a host of ideas related to soldiering. McKnight's observations illuminate the historical value of Civil War letters. As McKnight recalls daily life and explains his war experience in terms of service, faith, responsibility, duty, and family, readers are reminded of the various ways historians from Bell I. Wiley to James M. McPherson have interpreted the letters of common soldiers. It is within this vein of soldier studies that one of the few minor criticisms of Maness and Combs's work arises: its analysis is sometimes wanting in context. For example, what does the arc of McKnight's letters to his wife and his descriptions of "home" reveal about companionate marriage or the gendered nature of the war experience? But we shall let such questions fall to other historians. This book, rich with obliging general and chapter introductions, images, appendixes, and endnotes, is not intended to be a full-scale biography or a general work of history. It is a personal primary source account and its historical utility lies in both the singularity of McKnight's story and the representativeness of his experiences. Ultimately, McKnight's letters prove worthy of publication. Maness and Combs's carefully edited work succeeds in its stated goal of capturing "the human side of war" and does historians a great service in their unending quest to better understand the humanity and complexity of our nation's most violent era (3). [End Page 291] Matthew E. Stanley University of Cincinnati Copyright © 2011 The Kent State University Press

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.027
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0270.010

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.

Opus teacher head0.028
GPT teacher head0.242
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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