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‘The healthy, wholesome British domestic girl’

2017· book-chapter· en· W51119946 on OpenAlexaboutno aff
J. Gothard

Bibliographic record

VenueManchester University Press eBooks · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsDominionSettlement (finance)GirlGovernment (linguistics)PublicityState (computer science)PopulationEmpirePolitical scienceWelshIdeologyGender studiesEconomic historyLawHistorySociologyDemographyPoliticsPsychologyEconomicsArchaeology

Abstract

fetched live from OpenAlex

Female migration was an immediate priority of the Oversea Settlement Committee (OSC), the British government body dealing with Empire migration from its establishment in 1919. The assisted migration of single women to the dominions under the Empire Settlement Act was an exercise in state-controlled labour migration which also sought to meet certain social and population ends. The scheme can be seen as being only partly successful, given the changing and often contradictory motives of the British and dominion governments. War opportunities for Canadian women had been much more limited than in the United Kingdom, and Canadian women who had entered nontraditional employment had since returned to their former occupations. The ideological content of migration publicity drew some criticism. Canada had practically acknowledged the value of pre-migration training through the Khaki University of Canada, an early training initiative established in the United Kingdom.

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)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.832
Threshold uncertainty score0.333

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.009
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0250.006

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 head0.024
GPT teacher head0.222
Teacher spread0.197 · 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
GenreOther

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

Citations12
Published2017
Admission routes1
Has abstractyes

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Same venueManchester University Press eBooksSame topicCanadian Identity and HistoryFrench-language works237,207