Thracology and Nationalism in Bulgaria. Deconstructing Contemporaneous Historical and Archaeological Representations
Bibliographic record
Abstract
It is now widely acknowledged that Bulgarian academic discourses of the country’s so-called communist era (1945-1989) were heavily politicized with the aim of nationalizing and ethnicizing the history of the Bulgarian people. This communist era phenomenon subscribes to a chronologically vaster process of nationalist continuum recognized to have spanned from the middle-end of the nineteenth century to at least the early 1990s. Despite this trend, Bulgarian academics, especially in the field of archaeology, have more recently presented their post-communist, transition period disciplines as ideology-free, objective, scientific research. In this paper, we provide examples of recent theoretical developments and interpretations in the sub-field of thracology – studies of ancient Thracian culture – that indicate that this claim to objectivity is unfounded. Based on the examples provided we argue that not only have Bulgarian academic discourses in the fields in question not severed with the ethnicizing practices of the so-called nationalist continuum of the pre-communist and communist eras, but they are now flourishing on the nationalist foundation of the preceding century and a half. As such discourses are reproduced unquestioningly in specialized publications, their influence on right wing populism is incontestable as they provide the latter, wittingly or not, with the scientific authority it needs to justify its ethnicizing of “historical” tenets of racial and social discrimination.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.033 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".