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Record W6907781553 · doi:10.25446/oxford.25935160

The Doodlebug and the bus

2024· other· en· W6907781553 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Public transportSchool busLock (firearm)Local busIEBus

Abstract

fetched live from OpenAlex

I lived in Walton on Thames with my parents. It was a village then. I was born in 1939. When I was three months old I developed eczema. As a result, my mother and I had to attend St Thomas's Hospital at Waterloo regularly.When we went to Waterloo we used the bus to go to visit my mother's cousin, Florrie. On one occasion when we were going to the hospital my father said to my mother not to visit her cousin. It was a lovely day and when we came out of the hospital my mother said to me 'It's a lovely day let's go and see Florrie anyway'. So off we went. When we were leaving to catch a bus back, I was about 4 and saw the bus coming I ran to catch up and got on to the step. My mother called me to get off - we'd catch the next bus as she and Florrie hadn't finished talking.We got on the next bus and went up to the top deck. Suddenly a woman sitting at the back screamed. There was a doodlebug over our bus. It eventually hit the earlier bus that I had tried to get on. Everyone on that bus was killed. My mother was holding me so tight she was practically strangling me! One man who had been walking on the pavement came running down the road carrying his umbrella and briefcase but without his trousers. They had been blown off in the explosion. I have never forgotten that.Poor Florrie knew a bus had been hit, but not which one so she didn't know if we had survived. When we got home my Dad was furious! He had thought that because it was a lovely clear blue sky there would be Doodlebugs coming over. You could hear Doodlebugs coming, then they went silent and you didn't know where they were going to land. Doodlebugs used to use the river as a guide to get to the Vickers factory which was in Walton.At one time in the war we had a mother and daughter from Guernsey or Jersey billeted on us, but she stole some money from my mother. She was taken away and they never put anyone else with us. There were two kinds of shelters - one for inside which used the table I think and one for outside. We had the outside one - an Anderson shelter. You had to go down steps to get in it. It was dark and damp. People in our road used it. But we didn't, my Dad said we'd watch from here. My Dad worked at the dental equipment factory but in the war they made things for the war but I don't know what. My uncle worked at Shepperton studios and they made decoy buildings. We had big classes at school and the teachers had been brought out of retirement to teach us.We had two black market shops in the village. One was called Joe's and he looked after my Mum really well - used to give her things from under the counter. Dad had turned our garden into an allotment and grew our vegetables. We didn't really go short during the war.My mother had been brought up in an orphanage and they had taught her sewing and other skills. When she was old enough to leave they put her as ladies' maid to an actress at Shepperton. Because she was a good dressmaker I was always well dressed - she used to make my clothes from whatever she could find - they were always up to date - I was the best dressed girl in the village.We used to go to the British Restaurant (there were quite a few of them) and the customers were always offering me their sugar because it was on ration. I never wanted it - I have never liked sugar and only ever drink water.There were Canadian service men at Hampton Court, Bushey Park. The boy next door had a Canadian father but the girl's mother brought him up as her own.On one visit to St Thomas's it had been bombed and was covered in tarpaulins. The siren went and my mother just stood there until a man came along and made us take shelter.The war didn't really affect me.

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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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.937
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.005
Scholarly communication0.0070.005
Open science0.0010.007
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0630.006

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 head0.028
GPT teacher head0.319
Teacher spread0.291 · 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.

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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