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Record W4244367609 · doi:10.31237/osf.io/uf6p4

Correspondence, Camaraderie, and Community: The Second World War for a Mother and Son

2018· preprint· en· W4244367609 on OpenAlexaboutno aff
Emily Gann

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsMillerWorld War IIPrisoners of warSpanish Civil WarAction (physics)Home frontPsychologySocial psychologyGender studiesSociologyHistoryPolitical scienceLaw

Abstract

fetched live from OpenAlex

Erle Sinclair Miller enlisted in the Royal Canadian Air Force (RCAF) in 1940. While his initial attitude towards the conflict was one of personal invincibility and an eagerness for action, much of Miller's Second World War experience was spent in five prisoner of war camps, enduring physical as well as psychological hardship. The following thesis engages with the contents of the Miller Collection, a series of 297 letters, two prisoner of war journals, one flying log book and one scrapbook, in order to reveal the details of a young man's experiences of war and the critical relationship he retained with his mother in Canada. The key themes in this analysis, that of identity, community, and coping, are drawn out in each of the following three chapters, and offer an intimate appreciation of the impact that the Second World war had on families, sharper insight into the dynamics of the RCAF and prisoner of war experiences, the intersection of communities of war, and the role of mothers on the home front.

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)0.003
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 score0.474
Threshold uncertainty score0.954

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0250.006
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.032
GPT teacher head0.276
Teacher spread0.244 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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