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Record W2086973159 · doi:10.3828/bjcs.2014.11

‘Dangers behind, pleasures ahead': British-Canadian identity and the evacuation of British children to Canada during the Second World War

2014· article· en· W2086973159 on OpenAlexaboutno aff
Claire L. Halstead

Bibliographic record

VenueBritish Journal of Canadian Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)HistoryGenealogyWorld War IIFirst world warPolitical scienceAncient historyArchaeologyArtAesthetics

Abstract

fetched live from OpenAlex

Between 1939 and 1940, over six thousand British child evacuees were shipped across the dangerous Atlantic seas to the safe shores of Canada. Examining three Toronto-based organisations, the University of Toronto’s Women’s War Service Committee, the St George’s Society of Toronto and Havergal College, illustrates the British–Canadian connections that inspired Canadians to open their homes to small strangers for ‘the duration’. Wartime letters from six-year-old evacuee Julie Kemp and those sent between her natural mother and foster mother reflect the constant negotiations and intricacies of this prolonged separation between child and family and country. Post-war oral interviews with former evacuees point towards the complexities of their reintegration back into British society and the lasting effects of their evacuation. The children’s wartime migration drew upon pre-war British and wartime Canadian identity. Upon the evacuees’ return home, this combined with a post-war British identity to produce an amalgamated British-Canadian identity.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.817

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0360.016
Scholarly communication0.0070.002
Open science0.0020.006
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.010
GPT teacher head0.217
Teacher spread0.207 · 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 designQualitative
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

Citations2
Published2014
Admission routes1
Has abstractyes

Explore more

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