Bibliographic record
Abstract
Barrie Dale, born on April 12, 1940, is a native of Sheffield, England. Following secondary school, he joined the staff of the University of Sheffield as a Research Technician in the Department of Geology. This appointment brought him into contact with the late Professor (then Dr.) Charles Downie, the late Professor Leslie R. Moore (Head of Department), Dr. Roger Neves and the various postgraduate students studying for their doctoral degrees in palynology. His duties included developing preparation techniques and type collections, teaching preparation methods to graduate students, and preparing palynological slides for examination by staff in the department together with assisting many of the postgraduate students including Graham Williams and David Wall. During this time he gained not only further technical qualifications but also an insight into the world of palynological research including dinoflagellates and their cysts. Years later, Charles Downie was to say that his greatest source of pride was in having taught palynology to Barrie Dale and David Wall. MEDAL OF SCIENTIFIC EXCELLENCE
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 | 0.025 | 0.096 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.024 | 0.006 |
| Open science | 0.004 | 0.019 |
| Research integrity | 0.014 | 0.019 |
| Insufficient payload (model declined to judge) | 0.110 | 0.108 |
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".