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Record W2948292883

Mercenaries and Adventurers: Canada and the Foreign Enlistment Act in the Nineteenth Century

2014· article· en· W2948292883 on OpenAlexaboutno aff
Tyler Wentzell

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsAdventureHistoryArt history
DOInot available

Abstract

fetched live from OpenAlex

A bstract: W estm in ster's Foreign Enlistm ent A c t o f 1819 and 1870 forbade B r itish subjects fro m recru itin g fo r or serving in foreig n m ilitary forces.D esp ite this p roh ibition, B rito n s served with foreig n m ilita ries in E urope and S o u th A m erica , and B r itis h N orth A m erica n s and later C a n a d ia n s fought or attem pted to fight in the A m erica n C iv il War, the defence of the P apal States, and the Ten Years War in Cuba (1868-1878).A u th o rities only pressed charges on rare occasion s, in spite of freq u en t violations.W hile som e people characterized these volunteers as m ere m ercenaries, others saw them as harm less adventurers, or even heroes.C a n a d a 's F o r e i g n E n l i s t m e n t A ct,1 passed in response to the Spanish Civil War, is the successor of two British statutes of 1819 and 1870.Westminster's Foreign Enlistment Act of 1819 was vague -a general prohibition against British subjects serving in foreign militaries or recruiting others to do the same.Yet during the next four decades, Britons served with foreign forces in Portugal, Spain, Italy, and South America.The eponymous 1870 act, an updated statute passed in response to the Franco-Prussian War, forbade enlistment in or recruiting for foreign militaries at war, but with which Britain was at peace.Despite cases regarding other prohibitions under the act -namely, outfitting ships for warlike 1 Geo.6 c. 32.

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: none
Teacher disagreement score0.101
Threshold uncertainty score0.730

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 studies0.0280.011
Scholarly communication0.0080.003
Open science0.0010.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0120.001

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 head0.006
GPT teacher head0.177
Teacher spread0.172 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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