Bibliographic record
Abstract
This is a photo of my Grandpa Edward Simon Jones (known as Ed). He was born in 1876. He and my Grandmother (Alma Bryan) were childhood sweethearts, but because her father considered them to be from different social classes they weren't allowed to marry. To separate them my Grandmother was sent off on a cruise to Spain and my Grandpa then decided to go to America 'to have adventures' - he left Birkenhead, Cheshire (their hometown) in about 1902. In 1917, Ed was working on a farm in Ames, Iowa, USA when he decided to join the army even though he was considered to be too old at 41 years of age. He joined the Canadian Army (the Winnipeg Rifles) and set sail for England. We don't know where the ship docked but the regiment eventually arrived by train in Birkenhead- Ed had arrived back home! The troops were marched through the town and my Grandmother's sister saw Ed and rushed home to tell her - it was all a remarkable coincidence. Ed and Alma married on Christmas Eve 1917 shortly before he was shipped over to France. He returned back to England after a few months due to ill health. My grandparents had 3 children but only my father survived infancy - he was born in 1919.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.449 | 0.304 |
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".