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Record W2553243107

A Great War of Expectations: Men, Mothers, and Monsters in Toronto, 1914-1918

2015· article· en· W2553243107 on OpenAlexfundaboutno aff
Mary Chaktsiris

Bibliographic record

VenueQSpace (Queen's University Library) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersQueen's UniversityUniversity of TorontoForeign and Commonwealth Office
KeywordsHistoryPsychologyGender studiesSociologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Gendered expectations about wartime duty were central to Toronto's mobilization during the First World War.How Torontonians defined these duties and responsibilities -and how they imagined the war they were waging -exposes attitudes and reactions towards war that were contrary to those expected and promoted by the war effort.Many of these expectations were based on the prevailing imperial understandings of manhood, war, and militarism of the era.The historiography of the First World War generally presents ideas of a national coming of age.However, how Torontonians lived and imagined war from 1914 to 1918 demonstrates this experience was both contested and gendered.This case study of wartime Toronto examines how municipal, provincial, and federal authorities reinforced masculine expectations during wartime, and especially how active service was framed as the ultimate expression of manhood and masculinity.This study traces links between masculine duty and enlistment for war as communicated through war posters and the city's municipal organizations.Wartime activities -including recruitment and conscription, the identification of enemy aliens, and civil unrest -were framed by understandings of manhood that valued active military service as its ultimate test.Toronto was a military centre for the recruitment of acceptable soldier-volunteers, and later soldier-conscripts; it was also a place where "enemy aliens" were identified, suspected, and registered and where veterans struggled to readjust to civilian life.While some Torontonians supported the war and the ideals of freedom and democracy it was believed to safeguard, others voiced their displeasure about the war and its effects within the city.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.531
Threshold uncertainty score0.449

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.196
Teacher spread0.187 · 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.

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
Published2015
Admission routes2
Has abstractyes

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