TO EXPLORE THE UNEXPLORED—A GEOLOGIST'S PATH A MEMOIR OF JOVAN STÖCKLIN (1921–2008)
Bibliographic record
Abstract
ABSTRACT This article provides a brief survey of the life and career of Swiss geologist Jovan Stöcklin (1921–2008) with highlights of some of his important findings and extensive references to his published works. Additionally, it includes exclusive information and photographs provided by the late geologist's family. Dr. Stöcklin belonged to a generation of geologists who believed in field geology and followed their conviction that any theories or models needed to be—above all—based on direct observation of nature. Even early in his career, he hungered to conduct large-scale reconnaissance work in areas that were geologically unknown. That is why his expeditions took him to the most remote parts of Iran, where at that time camels were the only means of transportation. He also trekked through the rugged central mountains of Nepal, accompanied by Nepalese geologists and a column of porters. Fieldwork by Dr. Stöcklin and his teams provides modern geologists with much of what we know today about an area thousands of square kilometers in size extending from Iran (Persia) all the way to the central Himalayas. In addition to his native German tongue, Dr. Stöcklin was fluent in French, English, Russian, and Persian. This allowed him to converse with geologists from many different nations, read and correlate their published research, and exposed him to many ideas he might not otherwise have known about. He published his research in many languages as well. Dr. Stöcklin also acquired a comprehensive knowledge of the geology of the Middle East and Central Asia from his extensive travelling. Today's geologists owe many thanks to Dr. Stöcklin. As the reader of this article will come to discover, we have much we can learn from him.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".