The politics of crisis management and conflict resolution in Ukraine: Konstanz University MA students’ field trip to Kyiv
Bibliographic record
Abstract
This report describes the goal, mission, composition of participants, main events and results of the applied research seminar in the format of a field trip under the aforementioned name, which was organized and held during the summer semester 2019 by Jun.-Prof. Dr. Steffen Eckеhard (Ph.D. in Political Science at Konstanz University, Germany) for the MA-students of the International Administration and Conflict Management Program, with assistance from professors and students of Taras Shevchenko National University of Kyiv’s Faculty of History. The seminar consisted of two parts. The first – preparatory-theoretical, was conducted at Konstanz University, Germany. The second – empirically-practical, was held for a week in Kyiv. Aside from Germans, as much as half of the research group consisted of exchange students from other countries: Great Britain, Netherlands, Canada, Lithuania, Italy, Turkey, Ukraine and Sweden. Overall, the students conducted 16 interview meetings with representatives of international, domestic, public and non-profit organizations in just five days. Such interviews were conducted with, among others, the students who took part in the Revolution of Dignity and military conflict in Donbas on Ukraine’s side. Besides, Ukrainian politicians, “NV” radio station’s editor-in-chief, political scientists and employees of international organizations such as the EU, OSCE and UN also helped the participants of the seminar to formulate their own view of the conflict in Eastern Ukraine. Based on the collected and analyzed information, 6 reports were prepared. They can be accessed in English at the official web-page of the research group: https://www.polver.uni-konstanz.de/eckhard/teaching/applied-teaching
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".