Bridging Past and Present Traumas: The Emergence of Kosovo Serb Ethnoscape in the Dynamic Interaction between the Enclaved Environment and History Textbooks’ Content
Bibliographic record
Abstract
Abstract This article deals with the use of history textbooks imported from Serbia in the specific context of Kosovo Serb enclavement. It provides a content analysis of history textbooks used by Kosovo Serb pupils in Kosovo in terms of their contribution to Kosovo Serb collective identity building. This article focuses on the interaction between the enclaved environment within which Kosovo Serbs have lived since 1999 and the narratives contained in the history textbooks, to highlight how this interaction influences the way Kosovo Serbs consider their identity. First, I start by showing that history textbooks used by Kosovo Serbs in Kosovo emphasize religious identity. Next, I argue that dialogic relation between past and present, understood through the dynamic interaction between the enclaved environment and history textbook narratives, contributes to the emergence of enclaves as ethnoscapes.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.016 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".