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Record W6889217095 · doi:10.25446/oxford.25939135

Working in a Munitions Factory, Glasgow

2024· other· en· W6889217095 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsHappeningGuard (computer science)RationingWorld War IISpanish Civil WarMidnight

Abstract

fetched live from OpenAlex

The contributor's father, Robert McKechnie, was born in 1917. Robert lived in a town called Whitburn and worked as a mining engineer. While waiting on his call-up papers, Robert hoped to go to the RAF, but ended up with the Navy. Robert was terrified because he couldn't swim. But he then received another letter that told him to ignore his call-up, because he was in a reserved occupation. During the war, Robert was in Whitburn. The rationing wasn't so bad because it was supplemented by local farms' produce. The contributor said that her father's main memory was of working in a local pit and watching the sky go black, because something was happening in Glasgow. Robert joined the Home Guard and hated it. He was stationed in a valley, signaling from each side of the hill, but found it cold and wet. Whitburn was quiet but a plane crashed in the park and all the locals went down to see it. The contributor said her father remembered going to Glasgow on the back of a bike during the war and going to the matinee performance at the theatre to get back before dark (and maybe to get back before the nightshift). Robert's youngest brother, Andy, was in the RAF and served in Africa. The cigarette case came from Andy. The date on the object is 1946. The contributor wasn't certain on the details of the object's origin - but Andy met an Italian POW during his RAF service, and they became friends. The Italian made cigarette cases, so Andy asked if he would make two for his brothers. The metal is from an airplane. The contributor's mother, Elsie Round, was born in 1922. The contributor noted that her mother's war experience was different as she was brought up in Glasgow. Elsie worked in a munitions factory and watched for incendiary bombs on the roof, although she wasn't sure what to do if she saw one. The main thing the contributor said her mother talked about was rationing, and that she could still hear the bombs. Elsie considered joining the Land Army but decided to stay in the munitions factory with her friends! Elsie remembered being in George Square on VE Day with everybody! She loved being in crowds and people-watching so would have loved it! The contributor said that her parents spoke about war constantly throughout her life. Although, her mother didn't talk about anything specific. The contributor doesn't know if she was traumatized or if she was just a happy-go-lucky 16-year-old who didn't really care! Elsie never told stories about going dancing, but her best friend married a GI and emigrated to Canada! Throughout life, Elsie would say 'during the war...'. Robert loved music his whole life, and the contributor grew up listening to war records.

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)0.002
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 score0.190
Threshold uncertainty score0.634

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0250.005
Scholarly communication0.0070.002
Open science0.0020.007
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.1900.037

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 head0.120
GPT teacher head0.361
Teacher spread0.241 · 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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