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Record W4385869286 · doi:10.59962/9780774817677

Militia Myths

2010· book· en· W4385869286 on OpenAlexaboutno aff
James B. Wood

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2010
Typebook
Languageen
FieldArts and Humanities
TopicHistorical and Architectural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyGeographyHistoryClassics

Abstract

fetched live from OpenAlex

The citizen soldier is a central figure in Canada’s social memory of the First World War. But is the ideal of being a citizen first and a soldier only by necessity an unchanging feature of the Canadian identity? This compelling history traces the evolution of the Canadian amateur military tradition in the turbulent years from 1896 to 1921. Before the Great War, Canada’s military culture was in transition as Canada navigated an uncertain relationship with the United States and fought an imperial war in South Africa. Gradually, the untrained civilian replaced the long-serving volunteer militiaman as the archetypal amateur soldier, setting the country down a path leading directly to the battlefields of Flanders and northern France. Militia Myths reveals the history of a military culture that consistently employed the citizen soldier as its foremost symbol, but was otherwise in a state of profound change.

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: Other · Consensus signal: Other
Teacher disagreement score0.173
Threshold uncertainty score0.344

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0150.019
Scholarly communication0.0090.005
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0180.005

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 head0.016
GPT teacher head0.153
Teacher spread0.137 · 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
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

Citations21
Published2010
Admission routes1
Has abstractyes

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