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Record W2237318379

African Canadians in Union Blue: Volunteering for the Cause in the Civil War by Richard M. Reid, and: Blood and Daring: How Canada Fought the American Civil War and Forged a Nation by John Boyko (review)

2015· article· en· W2237318379 on OpenAlexaboutno aff
John Turing

Bibliographic record

VenueBritish Journal of Canadian Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsSpanish Civil WarLawNavyPolitical scienceHistoryEconomic history
DOInot available

Abstract

fetched live from OpenAlex

Richard M. Reid, African Canadians in Union Blue: Volunteering for the Cause in the Civil War (Vancouver: University of British Columbia Press, 2014), 308 pp. Cased. £68.95. ISBN 978-0-7748-2745-4. Paper. $32.95. ISBN 978-0-7748-2746-1.John Boyko, Blood and Daring: How Canada Fought the American Civil War and Forged a Nation (Toronto: Alfred A. Knopf/Penguin Random House Canada, 2014), 355 pp. Cased. $35. ISBN 978-0-3073-6144-8. Paper. $21. ISBN 978-0-3073-6146-2.The studies by these two historians address an important but undervalued subject - the role of Canada in the American Civil War. Richard Reid has examined the role of African-Canadian soldiers fighting in the civil war. John Boyko has attempted to provide a more general account of Canada's experience of the civil war through the stories of six different Canadians.Richard Reid has made a meticulous study of the federal pension records and enlistment records to provide an account of African-Canadian experience in the American Civil War. He has taken on the daunting task of calculating the number of African-Canadians who actually participated in the war. Through painstaking research, he has identified 2,500 African-Canadians, resident in Canada, who fought for either the Union Army or Navy. Reid has demonstrated that Canadian participation was roughly equivalent to that of the New England states. Previous historians have portrayed the role of Canadianborn soldiers in the civil war as either mercenaries or victims of crimping (the illegal recruitment of soldiers through kidnapping or coercion). Reid amply demonstrates, at least in the case of African-Canadians, that this simply was not the case. He shows that the monetary benefits available for black soldiers through pay and bounties were unlikely to exceed what one could make by remaining in Canada, particularly for those with families. Furthermore, the timing of African-Canadian enrolment did not at all coincide with increasing bounties. Far more important in their decision-making was the equitable treatment of black soldiers. When black soldiers were first allowed to enrol, they found themselves limited by unequal pay, prevented from obtaining commissions and subject to excessive fatigue duty. There is little to object to in Reid's new book. Perhaps one could have asked for a more in-depth account of how these black Canadian soldiers interacted with their American-born counterparts, and ideally he would provide more detail on how these soldiers related back to their friends and family in Canada, but the fragmentary nature of the source material likely makes such an endeavour unreasonable.Despite the seemingly narrow focus of the title, this book sheds light on a number of important issues: the issue of race in mid-nineteenth century North America; the porous border between the United States and Canada; and the importance of transnational ideologies and identities in the pre-Confederation era. Through a chapter on African-Canadian doctors, he tells the story of how blacks were able to break through into the medical industry in Canada more easily than in the United States. Later he demonstrates that the story does not simply end in 1865, as their war experiences influenced their lives long afterwards. …

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 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)0.006
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 score0.274
Threshold uncertainty score0.551

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.009
Science and technology studies0.0030.002
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0120.003

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 head0.023
GPT teacher head0.237
Teacher spread0.214 · 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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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Same venueBritish Journal of Canadian StudiesSame topicCanadian Identity and HistoryFrench-language works237,207