10333: VADs at Catterick Camp Military Hospital
Bibliographic record
Abstract
These photos belonged to my grandmother Batchie Griffiths (VAD General Services clerk) who was at Catterick Camp Military Hospital during the period February 1918 to February 1919. The names are as given in the captions in her photo album. Some of them can be identified with certainty: Superintendent Mrs Henderson was Sousa Marie Henderson, Phyllis was Phyllis Jenkins (later Mrs Parker), Minnie was Williamina Melville (later Mrs Scales). Maude was probably Maude Hoare. Bell may have been Evelyn Bell Taylor, who started at Catterick in February 1918 and whose Red Cross record identifies her as a lab. assistant. Theo was probably Theodora Gray, at Catterick from October 1915. Biggsie was probably Florence Hilda Lily Biggs who was a clerk at Catterick from January 1918 to Feb 1919. Tuckie might have been Dorothy Margaretta Tuckett, who was at Catterick Military Hospital from August 1918. I have not been able to identify Bobby, Pat, May/Mae, G or Peggy. All names are given going from left to right. 1. Group photo of VADs, nurses and patients. I cannot identify any of the people on this photo, which was probably taken during the winter of 1917-18. 2. The staff at the Quarter Master's stores, Catterick 24 March 1918. Batchie Griffiths is sitting on the right. 3. Bobby?, Peggy?, Mrs Henderson, G, Pat? 4. Bobby, Pat and Phyllis 5. Bell in the lab 6. Bell and Peggy 7. Bell 8. Biggsie, Batchie, Minnie 9. Phyllis, Mrs Henderson, G 10. Mrs Henderson, Maude, Minnie (at the back), Pat (front), Bobby, Biggsie 11. Mrs Henderson 12. Tuckie on the Swale 13. Bobby 14. Minnie and Maude 15. (Standing) Bobby, Batchie, Mae, Pat; (sitting) Minnie 16. Batchie and Peggy 17. Maude 18. Maude 19. Phyllis 20. Phyllis, Batchie (?) 21. Mrs Henderson 22. Pat and Mae 23. ? 24. G and Phyllis 25. Bobby 26. "A happy group" 27. "Picnic down Colburn". In the centre of the back row: Maude. Far right: Minnie. Others unknown. 28. Standing: Batchie 29. "After Catterick - identification uncertain. 30. Photo album cover 31. Photo album dedication, October 1918 32. "Life is funny, don't you think?" Poem dated 8 September 1918 33. Batchie Griffiths' Discharge Certificate With thanks to Ann Green, volunteer with the Imperial War Museum project Lives of the First World War, for her help in identifying some of those shown in the photos.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.896 | 0.651 |
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".