A quarter of a century later: Elements of ethnic cleansing in the case of the expiled from Kosovo and Metohija
Bibliographic record
Abstract
The paper deals with the problem of the exiled population from Kosovo and Metohija during and after the war conflicts in the Republic of Serbia in 1999. The problem of the return of the displaced population represents a special challenge, first of all for international institutions (UNMIK; EU; USA), and then for the temporary institutions in Pristina as a new internationally recognized agent that took upon itself the responsibility of solving post-war issues between Serbia and Kosovo during the dialogue period in Brussels. The analysis shows that, despite accepting the international obligation, Pristina, at the head of the international institutions, did not fulfill the process of the return of Serbs to Kosovo and Metohija as agreed and defined in the agreements. In that case, it was found out that the said process is being misused and used for political purposes, in which UNMIK and the EU have a special role.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".