Heritage Language and Culture Maintenance in the Ethnic Czech Community in North Bosnian Villages
Bibliographic record
Abstract
The Czech language islands in Bosnia and Herzegovina are enclaves forgotten both by researchers and the general public. Compatriots who have preserved Czech customs, music, dances and the Czech language even after about 150 years outside the Czech lands are gradually disappearing due to assimilation and inevitable demographic development - despite secondary migration from Volhynia, and tertiary migration to various larger settlements or abroad (for work or as a result of wars). During eleven research trips, and using data from more than seventy speakers of Czech as an inherited language, living in more than twenty different localities, the study sought out members of Czech families who settled in Nová Ves and Maćino Brdo in 1894-5 (after the previous two decades of life in Volhynia). Field research for this thesis was carried out from 2016 to 2023 and yielded unrepeatable data (a quarter of the 60 recorded informants have already passed away). Within the natural environments of foreign Czechs, field research has provided linguistic and non-linguistic data, including participant observations, photographic and audiovisual documentation, diary entries, and most importantly, recordings of semi-structured interviews. The thesis deals with the topics of inherited language and its preservation vs....
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".