Bibliographic record
Abstract
Roger Miller, perhaps the most outstanding experimental physical chemist of his generation, was sadly taken from us at the age of53 years, at the peak of his career. Roger Ervin Miller was born in Kitchener, Ontario, Canada, on 23 July 1952, the son of Ruth and Donald R. Miller. Roger had one older brother, Gerry, and one younger sister, Patricia. Roger's father worked in a tyre factory and was very innovative and creative in mending items around the house, a trait that he passed on to his children. From a very early age Roger was curious about the world around him. He was also a hard worker, raising rabbits or picking dew worms to earn money so that he could purchase model rockets, the bigger the better. This was the time of Sputnik and the US space programme, Roger being just 5 years old when the first Sputnik satellite was launched in 1957. As Roger explained in a memoir that he began to write in 2000 (but never finished; extracts are reproduced by courtesy of Mrs. Debbie Miller):
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.208 | 0.154 |
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".