Bibliographic record
Abstract
Service Award for Gisela P€ osgesGisela P€ osges is well known among the members of the Meteoritical Society for doing an excellent job in the Rieskrater-Museum (RKM), which was the first of its kind in Europe (http://www.rieskrater- museum.de/index.php/de/)and is now the most recognized European museum devoted to impact research.Not only among impact scientists but also in the much larger planetology and geology communities, the RKM has a legendary reputation for being highly informative; the acknowledgment of "impacts" as an important geological process in Germany is intimately connected to the existence of this institution.Gisela earned her diploma in geology and paleontology in 1988 at the University Bonn, and joined the team of the Rieskrater-Museum in 1990.In 2003, Gisela was appointed as deputy director of the Rieskrater-Museum.Since 1992, she has been head of the geology section in the context of the Rieser Kulturtage (organization of scientific sessions and excursions; http://www.rieser-kulturtage.de/).Between 2006 and 2009, she chaired the study group "geology" within the frame of the
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.547 | 0.407 |
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".