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PAY AND ALLOWANCES OF CANADIAN MILITARY AND NAVAL FORCES IN THE FIRST WORLD WAR

2024· article· en· W4404074577 on OpenAlexaboutno aff
E.S. Simonenko

Bibliographic record

VenueВЕСТНИК Брянского государственного университета · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsAeronauticsPolitical scienceEngineeringEconomic historyBusinessEconomics

Abstract

fetched live from OpenAlex

The paper studies the Canadian government’s policy in the field of material support for volunteers who enlisted in the Canadian Expeditionary Forces and the Navy during the First World War. It limits the chronological scope of the work to the period of August 4, 1914 – August 29, 1917. On August 4, 1914 Canada's entry into the war, and on August 29, 1917 the universal conscription was introduced in the country. In fact, it limits the presentation of events to the spring of 1916, when the basics of material support for Canadian volunteers were finally settled. It traced the evolution of government policy in the field of assigning monetary allowances to persons who served in the Canadian Expeditionary Force and in the Navy. It paid particular attention to legislative measures for the material support of volunteers. In general, during the First World War, material support for volunteers of the Canadian Expeditionary Forces and Navy was an integral part of the social policy pursued by the dominion authorities. It represented a system of measures aimed at compensating these categories of the population for the restrictions and hardships of military service, and to some extent raised the prestige of military service in society. It also represented an important basis for maintaining the morale of the troops at a high level and instilled in them confidence that the state guaranteed material support for their lives and everyday life.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.181
Threshold uncertainty score0.950

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0300.009
Scholarly communication0.0050.002
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.010
GPT teacher head0.218
Teacher spread0.208 · 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
Published2024
Admission routes1
Has abstractyes

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Same venueВЕСТНИК Брянского государственного университетаSame topicCanadian Identity and HistoryFrench-language works237,207