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Record W6964465189 · doi:10.25446/oxford.25938619

Memories of Thomas John Evans

2024· other· en· W6964465189 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsBrotherSpanish Civil WarWorld War IIParadeDoorsHonor

Abstract

fetched live from OpenAlex

My father ran away at 17 to the First World War.My brother, who is 24 years older than me, was a young policeman at the start of the war so he didn't get called up. And my father had decided to be a war observed policeman - so they both ended up in the same college. This has never happened before - both father and son.My father is Thomas John Evans (nicknamed Tom). My brother Thomas John Evans (nicknamed John).There are pictures of my brother, him in USA and him in flight suit. He volunteered to be in the forces. The only amazing thing that happened in America (he was trained in Vancouver) is that he started the biggest bar fight in New York (on leave) between the forces. They went to the bar and over the door it said – “Through these doors pass the best fighting forces in the world”. US Marines regularly drank there. Brother said 'Dye - did you see those pygmies in the harbour? It was the Marines with all the piss and wind taken out of them!'.They did the training for the air force in America. That took nearly a year to train as a navigator. He then flew out to India. He was there only for about six months. He was getting ready to go to Burma. But then they dropped the atom bomb that ended that part of the war. They sent the long serving troops home. The new troops stayed on and after the war he became an entertainment officer. He'd been brought up as a good Welsh socialist. He was given a servant to wash his clothes etc. My brother thought the pay was too low and so he paid him more. This young boy (only about 13) disappeared for 3 weeks. On the extra money that he had been given, he had gone back to his village and brought a bride. When my brother saw this bride, she was up a step ladder carrying bricks! She was a brickie's helper.Then my mum became pregnant with me. In every letter she got home, she was trying to say she was pregnant, but she never did. But suddenly John got his demob information that he could go home. But he couldn't go home as he hadn't had all the inoculations. He put all 9 in his arm and he was carried onto a stretcher to go home. So, he never got a letter to say he was coming. He was 6 feet tall. He arrived suddenly and she stripped him in the hall because she thought he had typhoid. John named me Linda.

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)0.009
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: none
Teacher disagreement score0.028
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0090.004
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0030.014
Insufficient payload (model declined to judge)0.0280.009

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 head0.046
GPT teacher head0.350
Teacher spread0.304 · 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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