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Female Imperialism and National Identity: Imperial Order Daughters of the Empire

2005· article· en· W2018157435 on OpenAlexfundvenueaboutno aff

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersPublic Works and Government Services CanadaUniversity of TorontoGovernment of OntarioQueen Mary University of LondonGovernment of CanadaMcGill UniversityQueen's UniversityJohns Hopkins University
KeywordsGeographerEmpireIdentity (music)Order (exchange)CitationGenealogyHistoryMedia studiesSociologyArtPolitical scienceGeographyAncient historyLawCartographyAesthetics

Abstract

fetched live from OpenAlex

Through a study of the British Empire's largest women's patriotic organisation, formed in 1900, and still in existence, this book examines the relationship between female imperialism and national identity. It throws new light on women's involvement in imperialism; on the history of 'conservative' women's organisations; on women's interventions in debates concerning citizenship and national identity; and on the history of women in white settler societies. After placing the IODE (Imperial Order Daughters of the Empire) in the context of recent scholarly work in Canadian, gender, imperial history and post-colonial theory, the book follows the IODE's history through the twentieth century. Chapters focus upon the IODE's attempts to create a British Canada through its maternal feminist work in education, health, welfare and citizenship. In addition it reflects on the IODE's responses to threats to Anglo-Canadian hegemony posed by immigration, World Wars and Communism, and examines the complex relationship between imperial loyalty and settler nationalism. Tracing the organisation into the postcolonial era, where previous imperial ideas are outmoded, it considers the transformation from patriotism to charity, and the turn to colonisation at home in the Canadian North.

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
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.815
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0030.006
Scholarly communication0.0010.001
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 head0.009
GPT teacher head0.219
Teacher spread0.211 · 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; both teacher heads agree on what is shown here.

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

Citations17
Published2005
Admission routes3
Has abstractyes

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