Childhood Memories of the War - Joan Thomas
Bibliographic record
Abstract
To find out more about the Second World War, I went to my Great Nana's house to speak to her about what she remembered.She was only two when WWII started and eight when it ended. She told me some interesting things about her and others' experiences.Her first memory was when she moved to Bournemouth. She wasn't evacuated there; it was because her father (my Great Great Grandad) was enlisted there as a chef. His job was to cook for the soldiers which involved working very long hours. After some time she moved back to Sale (the place of her birth) and rationing was introduced, with monthly trips to the shops where you could only buy around a quarter of your essential items. Many people used their gardens to grow their own fruit and vegetables (as these were hard to get hold of) or had allotments. There was little waste during the war as all the peelings from the vegetables along with other food scraps were placed in bins which were on each street. These were then used to feed the pigs on nearby farms. Many people made their own clothes and any damaged clothes were either mended or recycled to make another garment.When my Great Great Grandad was still in Bournemouth a friend built him a wooden doll's house for my Great Nana. He filled this up with boiled [?], sweets, lard, sugar and butter before he brought it home. These things were almost impossible to obtain during the war, so this was technically illegal, but thankfully he didn't get caught!At the back of her house, my Great Nana had an air raid shelter in case the sirens went off and they needed somewhere to hide. However, some people had their shelter built in a different place, for example, my Great Grandad had his in his basement. His dad built bunk beds in there for the whole family so they could sleep in it safely. My Great Nana's cousin Tommy had his shelter in the middle of his living room; they used it during the day for a dining table (!) and at night to sleep in as a safe place to go when they heard the sirens. At night people wore siren suits to bed which were like onesies. This was so that if the air raid siren went off during the night people could get out of bed as they were, and go down to the shelter without having to get changed.One day when my Great Nana was at home, she heard the sirens go off, and along with the people that lived near her ran into the air raid shelter nearby. Thankfully everyone survived but it transpired that the incident had involved a pilot dropping an air missile on the hospital for wounded soldiers, less than a mile away from her house.When it was time for her to go to school everyone had to take gas masks with them. This was in case the sirens went off and you couldn't breathe. However, my Nana refused to wear hers!
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.036 | 0.015 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.005 | 0.021 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".