The Society of Economic Geologists Awards for 2014 R. A. F. Penrose Gold Medal for 2014 Citation of James M. Franklin
Bibliographic record
Abstract
Mr. President, SEG members, and friends: Jim Franklin’s career has encompassed all of the criteria applicable to the terms of reference for the Penrose Gold Medal with his outstanding contributions to scientific research, to the profession, and to the development of mineral resources. All three were achieved through a full career in economic geology as practiced in academia, government, and industry. Although his scientific achievements are wide ranging and easily documented, I believe his singular technical contribution has been the establishment of the link between the geological attributes of volcanic-associated massive sulfide deposits, as preserved in the rock record ranging back to the Archean, with hydrothermal processes in modern oceanic environments. His penchant for documentation of key features associated with massive sulfide deposits, particularly things geochemical, dates back to his employment as a student at the Geological Survey of Canada with the late S.M. Roscoe, who was one of the earliest proponents of a syngenetic origin for deposits at Noranda and Mattagami Lake. Jim later put this experience to work in documenting the geology of the newly discovered Mattabi deposit at Sturgeon Lake in northern Ontario in the early 1970s, showing a geological setting and style of alteration that differed in many respects from the more familiar examples at Noranda and Kuroko. Similar work elsewhere at the time was focused on the site of metal deposition but Jim’s work at Sturgeon Lake pointed the way to two broader and more critical aspects: the presence of a …
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.187 | 0.163 |
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".