Memories of Jack & Florance
Notice bibliographique
Résumé
Florance and Jack were my parents. At the same time, Florance's sister, Mary, got married at the same time. They had a double wedding.The week after the wedding, Jack had to go into the fire service and Frank Lewis, my Uncle Frank, was sent to make tanks. He wanted to go into the navy, but he had to make tanks because he was a moulder. They wouldn't let him join the navy.Savile Hodgson was Jack's best man. He went into the army. James Helliwell was Frank's best man. He went into the navy. As far as I know, he was on the Russian convoys. Frank Edward, I think he was an usher. This is Tommy, Frank's brother. He was in the Navy. On my dad's side. That's George. I think he was in the army but it could have been the air force but I'm not sure.They all came back from the war. At one time they thought James had died because all his letters came back. That's how they found out that he was on the Russian convoys; because they couldn't have letters. He was a stoker as well. His uncle had been a stoker in the First World War. Fred Hainsworth. And he'd told him so many tales of being a stoker that he said he was going to be a stoker. They said "We don't usually get that" we usually have to make people be stokers."Another photo - That's my dad and the lady next to him came from Plymouth or Southampton. When they were badly bombed, they had to be evacuated and I think they were told they had to take somebody. I don't know her name and they never heard from her once she went back. All these soldiers were from Dunkirk, and they were billeted with my grandma. That's my Auntie Mary again. I think all three were with my grandma.Another picture of Halifax Fire Service - My dad is the smallest one.Another one - this is Manor Heath Park at the bottom of "The Moor." They were billeted somewhere in the grounds at Manor Heath Park to start with. I know they were up Hanson Lane so this looks like it was earlier. At one point my dad had to go to Liverpool after all the heavy bombing there. And he also went to Birmingham. One time they were told they had to take a fire engine "I don't know whether that was Liverpool or Birmingham. They were told not to follow any red lights.Another photo - this was my Auntie Emmy. She was married then and they'd just gone to the pictures and when they got back home all the windows were out because they lived up in this area. And then another time, incendiary bombs were dropped at King Cross. There used to be a laundry at King Cross, next to where that grass is. It was in that area. And that bomb I brought is from that.And this one is St Mark's Church where my mum and dad got married. Here is the Sunday School and at one point soldiers were billeted there. There was a lot of "at this ground here" they marched and paraded. But I just know which part of the war or whether it was all the time.Ration books - 1 for me, 1 for Florance and 1 for Dad. These were after the war because we were still using them into the 50's.National Registration ID cards.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,011 | 0,003 |
| Communication savante | 0,007 | 0,004 |
| Science ouverte | 0,001 | 0,005 |
| Intégrité de la recherche | 0,002 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,052 | 0,011 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».