55835: Photograph of Sarah Ann Bannfield's relation
Bibliographic record
Abstract
A treasured memory, very simple yet an example of the many family personal momentoes cherished by relatives of loved ones who went off to fight. This is my grandmother's best friend, Sarah or Sally as she was known, with either her beloved fiance, Frederick Jesse Brammer, or her brother, I'm not sure which, who was killed in action. If it was her fiance, Fred, he was still alive to witness my grandmothers wedding in 25 august 1917. I have much to do to glean from my aunt's memories but it appears he is in full kit and possiby attached to some medical unit. Editor's Comment: The man pictured wears the Canadian Service Dress uniform of the Canadian Army Medical Corps (with General Service cap and collar badges, and Red Cross arm badge). Attempts to trace Frederick Brammer or Sarah Bannfield's brother to the Canadian Expeditionary Force have so far proved inconclusive. It is not known whether the red tint of the picture is original.
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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 | 0.000 |
| 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 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.423 | 0.111 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".