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Record W7026768867

Approaching war: Australian and Canadian children’s culture and the first world war

2014· article· en· W7026768867 on OpenAlexaboutno aff

Bibliographic record

VenueUTS ePRESS (University of Technology Sydney) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Wars: History, Literature, and Impact
Canadian institutionsnot available
Fundersnot available
KeywordsReinterpretationFirst world warWorld War IIDecolonizationPoliticsColonialismMythologyFirst World
DOInot available

Abstract

fetched live from OpenAlex

© Oxbow Books Ltd and the Society for the Study of Childhood in the Past 2014. In 2010, the Leverhulme Trust partially funded three ‘Approaching War’ international conferences (Australia in 2011, Canada in 2012 and the UK in 2013) to explore the impact of the First World War on children and childhood culture from three different geographical and cultural perspectives: the Global South, the Americas and Europe. As our article provides the first analysis of the perspectives gathered from those conferences, we address the seismic historical reinterpretation of the war over the century. In the immediate aftermath, Australia and Canada both cited the First World War as the moment when they emerged from their colonial status into independent countries with distinct national myths characterised by courage and sacrifice. The children’s books of the period, particularly Ethel Turner’s (1915) The Cub in Australia and L. M. Montgomery’s (1921) Rilla of Ingleside in Canada, defined national identities, and marked Germans as the enemy. As the political landscape changed dramatically over the century, so has children’s literature, focusing on the personal tragedies across border lines, as in Michael Morpurgo’s (1982) War Horse. A century on, archival research has also turned up the actual words and images of children – on both sides of the conflict. We track the changes.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.864
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.006
GPT teacher head0.195
Teacher spread0.188 · 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 teacher head, not a consensus.

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
Published2014
Admission routes1
Has abstractyes

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