57557: Photo of Walter Powell and 4 mates from the Mechanised Transport A.S.C.
Bibliographic record
Abstract
Walter Powell is sat outside a barrack room in Chester, with his mates. From other photos in the collection it is possible to say that the others in the photo are probably - from left to right: David Thomas, Walter Powell, Bill Babage, George Stephens, Corporal 'Skip' from Seattle, Canada [sic]. In the diary of Walter's father W.J. Powell it is recorded that he was sent photographs from Wal (Walter) from Chester taken by Private Davies 265537, this may be one of these. Part of a collection relating to Walter H. Powell, Llandrindod Wells, (private / driver M2-267205 Mechanised Transport Army Service Corps). Born 1898, Walter tried to join up under-age on a number of occasions, finally succeeding in 1916. He served many months - (more than 2 years?) - in different army units in Britain, before going over to France. He served as a despatch rider for an anti-aircraft battery in 1918-1919. Walter was gassed "suffering the effects all his life". He was a founder member of Toc-H in Llandrindod, and a keen footballer - he died in 1994 aged 96. However Walter's older brothers (Cliff and Percy Powell) and his uncle (Humphrey Powell) died of wounds sustained during the war.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.523 | 0.276 |
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".