Remembrance, Public Narratives, and Obstacles to Justice in the Western Balkans
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
Twenty years since the onset of the traumatic wars of Yugoslav secession, the countries of the Western Balkans continue to nurture narratives of the past that are mutually exclusive, contradictory, and irreconcilable. The troubling ways in which states in the region remember their pasts provide continuing obstacles in the search for acknowledgment and justice. In this essay, I develop an argument for understanding the relationship between justice and remembrance of the past. To illustrate this relationship, I explore ways in which education and memorialization projects contribute to justice efforts. I critically analyze a few ongoing education and memory projects in the region, and then present alternative ideas on mechanisms of public memory that would be more conducive to building the foundational blocks of justice based on trust, respect, and dignity.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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