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Record W2897002184

Shifting Attitudes: Torontonians and Their Response to the Great War

2017· article· en· W2897002184 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Graduate History Review · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsMcMaster University
Fundersnot available
KeywordsXenophobiaScholarshipHome frontSpanish Civil WarWorld War IISociologyEthnic groupJust war theoryHistoryPolitical scienceGender studiesRacismLaw
DOInot available

Abstract

fetched live from OpenAlex

There exists little historical scholarship on Toronto during the First World War, or the impact of the war on its citizens. An examination of various tensions and oppositional activities in Toronto during the war complicates current interpretations of a 'united front' in the city. While the City of Toronto was 'united' in the sense that the majority of Torontonians supported the war effort in theory, between 1914 and 1918 there were serious debates and disagreements along various dividing lines regarding what support for the war constituted and required. The focus on homogeneity within the literature has resulted in a lack of analysis of the marginalized groups within the city, as well as the divides that existed within the British-Protestant community itself. The story of Toronto during the war is one of perceived unity, but in reality the city was rife with extensive divisions along national, ethnic, gendered, and religious lines. Far from uniting the city, the war brought forth long held tensions and xenophobia to the surface, resulting in violence in the streets of Toronto.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.564
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.114
GPT teacher head0.312
Teacher spread0.198 · 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