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Record W6907933580 · doi:10.25446/oxford.25935082

Childhood Memories of the War - Diana Esme Wooldridge

2024· other· en· W6907933580 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSpanish Civil WarSittingCraftQueen (butterfly)Period (music)League

Abstract

fetched live from OpenAlex

Diana was born in 1938, the youngest of four children. They lived in Littlehampton and Diana remembers lots of Canadian and American soldiers in the area. The troops were billeted in large houses. She remembers being taken to see a bombed house, where she a body lay twitching. She also remembers seeing a dog fight above where she was sitting under a tree with her mother. Near Pier Road, she saw a body floating in the river. Diana also remembers a line of vehicles, perhaps lining up for D-Day and waves of planes going over. The soldiers took a local dog with them. An unexploded bomb was found in their garden and her mum had to find somewhere else to live, with her four children. She found a large house and they had ten marine commanders billeted with them, practising in the Arun. Later she had Air Sea Rescue billeted in the house. Peter and Stella, her siblings were evacuated to Nottingham. Diana and her other brother, Robert stayed in Littlehampton with her mum. On VE Day Stella, Diana's mum arranged a street party for everyone. Diana's father was in the Royal Marines. He manned a machine gun at Admiralty Arch.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0150.005
Scholarly communication0.0050.004
Open science0.0010.005
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0320.005

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 head0.020
GPT teacher head0.285
Teacher spread0.265 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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