MétaCan
Menu
Back to cohort

THE ATTITUDE OF QUEBEC ON THE PROBLEM OF CANADA’S ENTRY INTO THE FIRST WORLD WAR

2018· article· en· W2810725657 on OpenAlexaboutno aff
Симоненко Екатерина Сергеевна

Bibliographic record

VenueTomsk state pedagogical university bulletin · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryWorld War IIPolitical sciencePsychologyArchaeology

Abstract

fetched live from OpenAlex

Within the new direction of social history, the subject field of which is the study of the social processes that accompanied the global conflicts of the 20th century, forms an objective idea about the attitude of the French-Canadian population on the problem of Canada‘s participation in the collective defense of the British Empire during the First World War. The paper examines the views of various groups of French-Canadian society (provincial government of Quebec, Roman Catholic Church’s representatives, French Canadian nationalists, provincial press of different social and political orientation) on the question of sending French-Canadian battalions to Europe. The chronology of the described events includes the first five months of the First World War (August – December 1914). As a result of the research, it estimates the level of imperial loyalty of the population of Quebec on the question of Canada‘s participation in the imperial wars. It studies the objective and subjective factors of the passivity of voluntary recruitment in Quebec (lack of military experience of the French-Canadian population, insufficient number of provincial police forces, traditionalism of the the rural population, anti-militarism propaganda of French-Canadian pacifists and nationalists, imperial policy of Department of Militia in Federal Government). It determines the role of the social movement for the creation of separate French-Canadian battalions in the process of activating recruitment and sending volunteers to the front.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
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 score0.310
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.227
Teacher spread0.207 · 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 teacher head, not a consensus.

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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueTomsk state pedagogical university bulletinSame topicCanadian Identity and HistoryFrench-language works237,207