Thor Larsen: A WWII RAF Veteran's Journey
Bibliographic record
Abstract
My grandfather, Thor Larsen, was in WWII, having joined the RAF. He trained in Canada as a lot of aircrew did. He flew in and out of Scotland and married his wife during this period.He became a prisoner of war thrice.On one occasion, he was moved to Dresden prison after having a German lawyer attend him.He escaped the P.O.W. camp and weighed 6 stones! He escaped from Dresden. The escapers had to eat cabbage and sugarbeet that they found. He had to be nursed back to life. His wife tried to find out about him and where he was. He was still in Dresden after the war finished whereupon he was shipped to Brighton and tried to go back to living a good life. He became a member of the British Embassy. His WWII story has been turned into a booklet.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.012 |
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; both teacher heads 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".