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Sam Hughes and Mobilization of Canadian Volunteers for War (August 1914 — October 1915)

2021· article· en· W4200259989 on OpenAlexaboutno aff
E. S. Symonenko

Bibliographic record

VenueNauchnyi Dialog · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsMobilizationWorld War IIPolitical scienceGovernment (linguistics)PaceSpanish Civil WarLawPublic administrationEconomic historyHistoryGeography

Abstract

fetched live from OpenAlex

The process of mobilization of Canadian volunteers, carried out by the Minister of Militia Sam Hughes during the First World War, is considered. The chronological framework is limited by the dates of Canada’s entry into the war (August 4, 1914) and the end of the active phase of the mobilization of Canadian volunteers (October 1915) in connection with the first symptoms of the army manning crisis. The relevance of the study is due to insufficient knowledge of the specifics of Canada's mobilization activity during the First World War. For the first time, ideas are formulated and the activities of the Minister of Militia S. Hughes in the process of mobilizing Canadian troops during the war years are analyzed. The sources for the study were Canadian historical and statistical collections, as well as a collection of official documents of the Canadian government and publications of the Canadian federal and provincial press for two military years (1914—1915). The article traces the views of S. Hughes on the issue of Canada's participation in the war and his activities in the field of recruiting the volunteer army (1914—1915). It is proved that the decisive character of S. Hughes and the authoritarian style of his leadership predetermined the nature of the Canadian mobilization. In fact, it got out of the control of the British authorities due to the minister's refusal from the official mobilization plan, which provided for a too slow pace of manning. Thus, the personal efforts of S. Hughes to organize the process of mobilization contributed to its complete success.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.056
Threshold uncertainty score0.406

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0260.009
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.017
GPT teacher head0.239
Teacher spread0.222 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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