Bibliographic record
Abstract
My Great Grandad was born on 18 November 1922. He joined the RAF in 1940, when he was 18 years old.In August 1941, he was posted overseas. He sailed to Canada, then travelled to Chicago and on to Ponca City, Oklahoma for training. He undertook his first flight on 29 August 1941 and his first solo flight on 15 September 1941. On 22 January 1942 he was promoted to Sgt.He returned to England in February 1942 and in May 1942 undertook his first Spitfire flight.In January 1943 he has posted to Orkney and on 24 March 1943, he shot down a German Junker Ju 88. A funeral was held for the German pilot who was killed.On 24 November 1943, he boarded the Queen Mary and sailed to New York. He travelled across the USA by train to San Francisco where he boarded another ship. He arrived in Townsville, Queensland on 1 January 1944. He remained in Australia during 1944 travelling between Melbourne, Sydney, Brisbane and Darwin.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.728 | 0.489 |
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".