Bibliographic record
Abstract
Abstract John Herbert Beynon was born in a Welsh mining village in 1923, graduated BSc (Hons, physics) at 19, then worked on weapons research for the war effort in World War Two. In 1947 he started a 22-year career at Imperial Chemical Industries (ICI) in Manchester, where, with his technician Albert Williams, he revolutionized mass spectrometry from a physics method to an essential technique for organic chemistry. In 1960 he completed his landmark book Mass spectrometry and its applications to organic chemistry, which was reprinted by the American Society for Mass Spectrometry as a ‘Classic Book’. He continued his creative work in 1969–1974 at Purdue University. In 1974 he started his Royal Society Research Professorship at Swansea University, his alma mater. Collaborations here with a long string of students, postdoc, visiting professors and scientists from many countries resulted in about 65% of his list of 395 peer-reviewed publications. His unexpected retirement led to a compendium of 32 articles in his honour. He then initiated and edited a new journal, Rapid Communications in Mass Spectrometry.
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 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) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".