Bibliographic record
Abstract
ZusammenfassungOSCE Insights ist die Nachfolgepublikation des vom Institut für Friedensforschung und Sicherheitspolitik (IFSH)an der Universität Hamburg herausgegebenen OSZE-Jahrbuchs. Renommierte ForscherInnen verfassen wissenschaftliche Analysen, DiplomatInnen und politische EntscheidungsträgerInnen berichten über ihre Erfahrungen und formulieren Empfehlungen für gemeinsame Sicherheit von Vancouver bis Wladiwostok. Die Beiträge untersuchen die institutionelle Entwicklung der OSZE, ihre Beziehungen zu anderen internationalen Organisationen und die Positionen von Teilnehmerstaaten gegenüber der OSZE. Darüber hinaus befassen sich die Autorinnen und Autoren mit Fragen der Demokratieförderung, der Menschenrechte, der Rüstungs-kontrolle, der Sicherheitssektorreform oder des Umweltschutzes im OSZE-Raum.AbstractOSCE Insights is the follow-up to the OSCE Yearbook published by the ISFH at the University of Hamburg. The articles in OSCE Insights shed light on OSCE-related topics from different perspectives. Renowned research-ers write academic analyses, and diplomats and political decision makers report on their experiences and formulate recommendations for common security from Vancouver to Vladivostok. The contributions examine the institutional development of the OSCE, its relations with other international organisations and the posi-tions of participating states towards the OSCE. In addition, the authors deal with questions of democracy pro-motion, human rights, arms control, security sector reform and environmental protection in the OSCE area.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.394 | 0.157 |
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".