Bibliographic record
Abstract
ProlegomenonBasic information for the following contribution was given by Ivo Gönner, mayor of the city of Ulm and, at that time, president of the "Städtetag Baden-Württemberg", during an interview on July 22, 2010.This meeting with an international group with participants from France, Germany, Portugal, Romania and Spain was part of the 9th edition of the 2h2s-seminary.At this point, it is important to mention that Ioan Ianoș organized the first 2h2s-seminary in 2002 in Romania.Subsequently, he and his staff at CICADIT organized the conferences in 2009 and 2013.In all these scientific meetings, we analyzed manifold phenomena of regional change and discussed perspectives of regional development in a comparative perspective.These topics are main fields of Ioan's scientific interests.So, this essay is dedicated to Professor Ioan Ianoș, as member of the 2h2s-consortium and reliable cooperation partner of the Geographic Research Group on Migration and Transitionin Bamberg.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".