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Record W6922286931 · doi:10.13023/etd.2025.170

Refuge, Raids, and Confederates on Sleighs: How the Confederacy Exploited Canada and the International Border and Shaped the American Civil War

2025· dissertation· en· W6922286931 on OpenAlexaboutno aff

Bibliographic record

VenueUKnowledge (University of Kentucky) · 2025
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsSpanish Civil WarVictoryState (computer science)Government (linguistics)Power (physics)ImprisonmentBattlefieldInstitution

Abstract

fetched live from OpenAlex

This dissertation expands historians’ geographical understanding of the American Civil War to include British North America, specifically, Canada. My study shows that the physical boundaries of the Confederacy did not outline the full range or coverage of its supporters, nor did the physical boundaries of the battlefield define the extent of war making and wartime action. Raids were executed from Canada against the United States home front prompting the United States Army, government, and American civilians to confront these Confederates and stop their insidious presence and violence. Where slavery thrived, a lack of official Confederate government did not prevent enslavers and Confederates from exercising and extending their influence and extending that influence to the international border to secure a military victory for the Confederate States of America, especially in the state of Kentucky. Treasonous individuals, and their wives and families, maintained their disloyalty and avoided imprisonment by American authorities by fleeing to Canada. Magnifying the wartime actions at the international border between Canada and the United States, and in the borderlands, shows the limitations of borders and the incomplete power of nations to govern and control people—a lesson enslaved men and women taught enslavers by their constant resistance and challenging of the institution of slavery. This study moves chronologically from the Antebellum Era to the Civil War years and ends during Reconstruction.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score0.934

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.184
Teacher spread0.178 · 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 teacher head, not a consensus.

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

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
Published2025
Admission routes1
Has abstractyes

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