Sager, Arthur: my Air Force recollections (November 23, 2005)
Bibliographic record
Abstract
ABSTRACT: Arthur Sager This interview was of tactical airpower. It starts with an in-depth history of Mr. Sager's childhood and where he lived. He was raised as a innocent pacifist who was against killing and war. He entered the RCAF because of his love of England and he did not want to see the people he loved to get hurt. His training took place in Canada, from Quebec to Vancouver. Once he was stationed in Europe he participated in escort missions into France, Holland, Belgium and even Germany. Mr. Sager goes into great depth about the technical aspect of the spitfire, FW 190 and Me 109. Mr. Sager tells stories about his experiences in Europe during the war and with his fellow men and what it was like to be a squadron leader. Start - history of childhood 7 min in - training experience 22 min in - overseas experience and technical aspect of fighters
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.057 | 0.021 |
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".