The Society of Economic Geologists 2002 Awards* R.A.F. Penrose Gold Medal for 2002 Citation of Anthony J. Naldrett
Bibliographic record
Abstract
Mr. President and members: It is an easy and pleasurable task to be the citationist for Tony Naldrett’s SEG Penrose Gold Medal. Easy because of Tony’s stunning career in teaching, research, and service. A pleasure because he has been a close friend for 34 years. Let me recount for you some of his history, both recorded and, for understandable reasons, unrecorded. In 1957, Tony, a dashing 24-year-old graduate of Cambridge University, who had flown Meteor jets as a pilot in the Royal Air Force and drove racing cars, arrived in Canada to work for Falconbridge Nickel as a mine geologist in Sudbury (for anyone under the age of 60, the Meteor was an early twin-engine jet). Having been bitten by the magmatic bug and wanting to expand his horizons, Tony went to Queen’s University in Kingston, Ontario, to study magmatic ore deposits under the famous J. E. Hawley. He also continued to spend summers as an exploration geologist for Falconbridge. Tony’s master’s thesis was on the ores of Sudbury and his Ph.D. was on the ultramafic rocks and ores of the Porcupine district. These were areas to which he and his students would return time and again. Armed with his Ph.D. and lots of practical field experience with magmatic sulfide ores, Tony next packed himself off to the geophysical lab of the Carnegie Institution in Washington where Gunnar Kullerud was establishing a reputation in sulfide phase equilibrium. Tony spent three years with Kullerud as a postdoctoral fellow, learning how to do experiments with metallic sulfides at high temperatures in evacuated silica tubes and applying this new knowledge to real ore systems. The approach he took at the geophysical lab, combining the theoretical with the practical, was to define the direction that his future career would take. Luckily for us at …
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".