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Record W4320027737 · doi:10.1515/9781531501310

Continent in Crisis

2022· book· en· W4320027737 on OpenAlexaboutno aff

Bibliographic record

VenueFordham University Press eBooks · 2022
Typebook
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Written by leading historians of the mid–nineteenth century United States, this book focuses on the continental dimensions of the U.S. Civil War. It joins a growing body of scholarship that seeks to understand the place of America’s mid-nineteenth-century crisis in the broader sweep of world history. However, unlike other studies that have pursued the Civil War’s connections with Europe and the Caribbean, this volume focuses on North America, particularly Mexico, British Canada, and sovereign indigenous states in the West. As the United States went through its Civil War and Reconstruction, Mexico endured its own civil war and then waged a four-year campaign to expel a French-imposed monarch. Meanwhile, Britain’s North American colonies were in complex and contested negotiations that culminated in confederation in 1867. In the West, indigenous nations faced an onslaught of settlers and soldiers seeking to conquer their lands for the United States. Yet despite this synchronicity, mainstream histories of the Civil War mostly ignore its connections to the political upheaval occurring elsewhere in North America. By reading North America into the history of the Civil War, this volume shows how battles over sovereignty in neighboring states became enmeshed with the fratricidal conflict in the United States. Its contributors explore these entangled histories in studies ranging from African Americans fleeing U.S. slavery by emigrating to Mexico to Confederate privateers finding allies in Halifax, Nova Scotia. This continental perspective highlights the uncertainty of the period when the fate of old nations and possibilities for new ones were truly up for grabs.

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.495
Threshold uncertainty score1.000

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 studies0.0010.000
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 head0.023
GPT teacher head0.230
Teacher spread0.207 · 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
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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