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Record W2885195382 · doi:10.7765/9781526137357.00010

Female imperialism at the periphery

2018· book-chapter· en· W2885195382 on OpenAlexaboutno aff
Katie Pickles

Bibliographic record

VenueManchester University Press eBooks · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationVictoryHierarchyWorld War IIEmpirePolitical sciencePreferenceLawSociologyGender studiesHistoryPolitics

Abstract

fetched live from OpenAlex

This chapter covers the beginning years of the IODE, through to the end of the First World War, and introduces the ‘racial hierarchy’ of the IODE and its preference for British immigration. It covers the IODE's work with immigrants and its maternal wartime labour. The IODE was not a pacifist organisation, as, during the First World War, the goal was victory for Canada and the Empire. Its military involvement refutes the arguments of some contemporary theorists, who consider war and peace as opposites, with women as ‘beautiful souls’ and life-givers, and men as ‘just warriors’ and life-takers. During the IODE's first years, immigration and war work had in common the intended construction of a strong British Canada. The IODE was able to use its élite social status and gender to achieve its objectives. It supported a ‘racial hierarchy’ which asserted that British people and their Anglo-Celtic Canadian descendants were superior to all other races, and discriminatory immigration laws which legislated this preference.

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)0.000
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.008
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.002

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 head0.035
GPT teacher head0.238
Teacher spread0.203 · 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
Published2018
Admission routes1
Has abstractyes

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