Autonomieforderungen und Sezessionsbestrebungen in Europa und der Welt
Bibliographic record
Abstract
The current crisis in Catalonia and the issue of its future status is a well-known example of challenges which can be observed throughout Europe and the world: demands for autonomy and tendencies towards secession. The chapters in this volume deal with various examples of such phenomena in Europe (Catalonia, Corsica, Cyprus, Flanders, Scotland, South Tyrol, the former Czechoslovakia) and in other parts of the world: the Middle East (the case of the Kurdish people), North America (Québec and the USA) and East Asia (Hong Kong) With contributions by Elisabeth Alber, Heinz-Jürgen Axt, Helga E. Bories-Sawala, Frédéric Falkenhagen, Horst Förster, Martin Große Hüttmann, Rudolf Hrbek, Lukas Mariacher, Simon Meisch, Peter Pawelka, Sebastian Relitz, Sabine Riedel, Georg Schild, Markus Stoffels, Gunter Schubert
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".