Bibliographic record
Abstract
The winners of the 2023 Joseph B. Lambert HIST Award for Outstanding Achievement in the History of Chemistry are Geoffrey W. Rayner-Canham and Marelene F. Rayner-Canham . This award honors their work on the history of women in science, particularly British women chemists. Geoffrey Rayner-Canham is a professor emeritus at the Grenfall Campus, Memorial University of Newfoundland, and Marelene F. Rayner-Canham is a retired physics instructor from the same university. The Rayner-Canhams have written four books about forgotten historical women scientists: Harriet Brooks: Pioneer Nuclear Scientist ; A Devotion to Their Science: Pioneer Women of Radioactivity ; Women in Chemistry: Their Changing Roles from Alchemical Times to the Mid-Twentieth Century ; and Chemistry Was Their Life: Pioneering British Women Chemists, 1880–1949 . The pair was also major contributors to the book Women in Their Element: Selected Women’s Contributions to the Periodic System and have published a large number of papers
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.149 | 0.061 |
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".