Bibliographic record
Abstract
Mr. President, friends, and colleagues: It is my great pleasure to present to you Stephen J. Piercey as this year’s winner of the Waldemar Lindgren Award. This award is offered annually to a young scientist whose published research represents an outstanding contribution to economic geology. Steve’s nomination was based on a track record of exceptional achievement in the area of igneous geochemistry and economic geology since the completion of his Ph.D. research in 2001. Over the past few years he has authored 15 peer-reviewed papers (seven of these first-authored; plus two more accepted, pending revisions), 18 government publications, and 4 geologic maps. His publications have appeared in leading scientific journals, including Economic Geology, Geology, Geological Society of America Bulletin, and Canadian Journal of Earth Sciences . Steve has wisely chosen as his research area the topic of crustal growth and evolution of convergent margins through geologic time. His research theme has been the petrogenesis and tectonics of arc and back-arc volcanic and plutonic rocks in ancient orogenic and greenstone belts, and their metallogenic implications for the formation of volcanogenic massive sulfide (VMS) deposits. In short, he investigates the linkages and drivers between magmatism and ore deposits formation. Although Steve’s research achievements are in the broad field of economic geology and metallogeny, the significance of his findings extends into the areas of volcanology, igneous petrology, and tectonics. Steve received his Honors B.Sc. degree in 1996 at Memorial University of Newfoundland, completing a thesis on “The Geology and Geochemistry of the Southern Pacquet Harbour Group Volcanics, Baie Verte Peninsula, Newfoundland.” This work garnered the President’s Gold Medal of the Canadian Institute of Mining, Metallurgy and Petroleum for best undergraduate student thesis in Canada in 1997. He stayed on at Memorial for his M.Sc. thesis, entitled “An Integrated Study of Magmatism, Magmatic Ni-Cu-Co …
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.187 | 0.177 |
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".