“DIME” Analysis of the Conflict in Eastern Ukraine
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Following the Maidan Revolution in 2014, the competing interests of the main actors in Ukraine and globally stalled the process of conflict resolution. The geopolitical view of the situation prevented focusing on the regional challenges such as the humanitarian situation and were unlikely to facilitate positive developments in the peaceful settlement of the conflict. The Minsk Agreements were questioned by both sides, although they were the only existing framework for the settlement of the conflict. The United Nations efforts in conflict management were limited due to controversial views between the West and Russia. This paper uses DIME conflict analysis to examine the various actors involved in the conflict between Ukraine and the separatist movements in the Donbas region of eastern Ukraine from 2014 to the invasion of Ukraine in 2022. DIME is an acronym for Diplomacy, Information, Military, and Economic. The various parties and stakeholders involved in the conflict in eastern Ukraine are listed and characterized under these four descriptors.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 it