Analyzing the Upsurge of Violence and Mediation in the Nagorno-Karabakh Conflict
Bibliographic record
Abstract
This article aims to explore the mediation and upsurge of violence in the Nagorno-Karabakh conflict in order to introduce new elements into the mediation focused on the structure of violence. It analyzes the definition of violence and its stages, structure, and retrospective dynamics within this conflict. The research demonstrates that the Nagorno-Karabakh conflict includes three kinds of violence manifesting through physical-behavioral deeds, structural-institutional and cultural violence. Physical-behavioral violence reached a peak again in January 2014, after a few years of relative silence. Current political structures and institutions are largely saturated with historical context based on negative memories (i.e. Sumgait pogrom, Khojaly massacres) and violence, accompanied by external posture and interests of international actors. This context constitutes cultural violence leading to antagonism and negative attitudes which result in violent behavior. The role of mediators (OSCE) in curbing violence seems to be insufficient largely because of its overwhelming focus on direct violence. It needs different strategies, resources and attitudes to find a proper solution to incorporate means dealing with the structural and cultural dimensions.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".