Prestigious honour for the discipline of Geography:The Karel Engliš Honorary Medal presentation to Professor Bryn Greer-Wootten
Bibliographic record
Abstract
Abstract This communication concerns the prestigious award - the Karel Engliš Honorary Medal for Merit in the Social and Economic Sciences - that Bryn Greer-Wootten, Professor Emeritus at York University in Toronto and the Editor-in-Chief of the Moravian Geographical Reports (MGR), received from the Czech Academy of Sciences in2018. The article contains the most important and interesting points from the Laudation by Professor Radim Blaheta (Chair of the Institute of Geonics’ Institutional Board and the previous Director of the Institute), the Response by Professor Greer-Wootten, and the Closing Speech by Bohumil Frantál (Executive Editor of MGR), which were presented during the award ceremony on August 28, 2018 at the historic Löw-Beer Villa in Brno, Czech Republic.
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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 | 0.008 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.013 | 0.007 |
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".