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Record W6983758574

The night Dixie came to town : The Shenandoah and the American Civil War in Ballarat

2016· article· en· W6983758574 on OpenAlexaboutno aff

Bibliographic record

VenueFedUni ResearchOnline (Federation University Australia) · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsSpanish Civil WarInfantryPoliticsEconomic shortageCivil rightsKingdomSoviet unionWorld War II
DOInot available

Abstract

fetched live from OpenAlex

That the American Civil War occurred exclusively within North America and affected specifically United States affair is a common misconception. Whilst the majority of the infantry conflict occured within and between the United and then Confederate States of America, the clash was such that it and its effects spread accross the globe. Also engaged in the American Civil War were Prussian military observers; political entanglements with the United Kingdom and Russia; Canadian volunteers within the Union army; smuggling and blockade running from the Bahamas into the Confederate States; cotton shortages in French industries that were heavily reliant on raw materials imported from the southern states; merchant raiding in the Pacific and Atlantic; along with countless other entanglements to Europe and their colonies into the conflict through one means or another. The tyranny of distance notwithstanding, Australia was no exception to the overflow of conflicts and consequences that resulted from the American Civil War.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.298

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0380.013
Scholarly communication0.0100.003
Open science0.0010.007
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0100.001

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 head0.024
GPT teacher head0.250
Teacher spread0.226 · 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
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
Published2016
Admission routes1
Has abstractyes

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