Mineralogical Association of Canada
Bibliographic record
Abstract
The latest thematic issue of The Canadian Mineralogist comprises contributions from the 8 th International Symposium of Granitic Pegmatites (PEG2017), which was held in Kristiansand (Norway).The issue is dedicated to Milan Novák, a distinguished Czech Republic researcher in the field of pegmatite mineralogy and petrology.Milan spent his research career at two institutions.Between 1977 and 1999, he worked at the Moravian Museum in Brno (Czech Republic) as a curator of the mineralogical collections, rising to become Head of the Department of Mineralogy and Petrology.Between 1999 and 2003, he was employed at Masaryk University in Brno as Director of the Department of Mineralogy, Petrology and Geochemistry.After the merging of two geological departments at the university, he was Director of the Department of Geological Sciences (2003-2007; 2016-2017) until his partial retirement in 2017.His research in the field of granitic pegmatites benefited from his early experiences of collecting and field surveying for the Moravian Museum and from his teachers during the 1970s and 1980s:
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.255 | 0.097 |
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".