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Record W6909249816 · doi:10.34944/dspace/3711

The Policy of Neglect: The Canadian Militia in the Interwar Years, 1919-39

2008· other· en· W6909249816 on OpenAlexaboutno aff

Bibliographic record

VenueTUScholarShare (Temple University) · 2008
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsInterwar periodPoliticsWorld War IIFirst world war

Abstract

fetched live from OpenAlex

The Canadian Militia, since its beginning, has been underfunded and under-supported by the government, no matter which political party was in power. This trend continued throughout the interwar years of 1919 to 1939. During these years, the Militia's members had to improvise a great deal of the time in their efforts to attain military effectiveness. This included much of their training, which they often funded with their own pay. They created their own training apparatuses, such as mock tanks, so that their preparations had a hint of realism. Officers designed interesting and unique exercises to challenge their personnel. All these actions helped create esprit de corps in the Militia, particularly the half composed of citizen soldiers, the Non-Permanent Active Militia. The regulars, the Permanent Active Militia (or Permanent Force), also relied on their own efforts to improve themselves as soldiers. They found intellectual nourishment in an excellent service journal, the Canadian Defence Quarterly, and British schools. The Militia learned to endure in these years because of all the trials its members faced. The interwar years are important for their impact on how the Canadian Army (as it was known after 1940) would fight the Second World War. To put it simply, the interwar years forced the Militia to focus on officer, NCO, and specialist development, creating a highly trained and effective nucleus of key personnel. This leadership core led Canada's land-based contribution to the war effort. Another important factor in the Canadian Army's performance was the Militia's interwar interest in mechanization, which revealed a remarkably progressive strain in this neglected organization.

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)0.003
metaresearch head score (Gemma)0.006
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.268
Threshold uncertainty score0.849

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0690.013
Scholarly communication0.0100.003
Open science0.0030.007
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0110.001

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 head0.022
GPT teacher head0.235
Teacher spread0.213 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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