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Record W6893490998 · doi:10.5281/zenodo.321327

The Czech Republic: Minority Rights Since The Days Of The Habsburg Empire (Deliverable 4.6)

2017· article· en· W6893490998 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCentral European national history
Canadian institutionsnot available
Fundersnot available
KeywordsCzechPoliticsPopulationPartition (number theory)HomogeneousEthnic groupJudaismGermanNationality

Abstract

fetched live from OpenAlex

INTRODUCTION The Czech Republic embodies a remarkable exception from the set of cases dealt with in this volume. From the macroscopic point of view, the Czech Republic resembles rather homogeneous country compared to Canada or Switzerland. Nationally and ethnically rather homogenous country1 with considerable low level of religious alignments, low profile of ethnic-based political parties and peacefully departed from Czechoslovak federation does not look intuitively to be an appropriate object of scholar research aimed at minority claims and their political treatment. Historical path towards the present situation, however, shows much colourful picture of a country struggling with multi-ethnic, multi-linguistic, as well as multi-religious composition of the population. To simplify slightly, an observer can read the history of the second half of Czech 20th century as a history of de-complexification of Czech population. After extermination of Jewish population of Czechoslovakia, the German (and to considerable lower level Hungarian) inhabitants of Czechoslovakia were expelled, Ruthenia with Ukrainian-speaking (but with strong distinctive regional identity equipped) population was transferred to the Soviet Union and after partition of Czechoslovakia, the remaining Czech Republic left behind salient issue of Hungarian minority inhabiting Southern Slovakian regions. This short history is far from being a triumph of Czech politics of solving the ethnic and national disputes. It can rather serve as an example of how drastic measures were adopted in Europe only slightly more than half a century ago to achieve one of the ideals painted by enlightened concept of modern homogeneous nation that rules over a comprehensive territory of a nation-state. Therefore, the important part of the study must be devoted to explanations of how the Czech lands once became multi-cultural, what problems it took along, what kind of conflict unfroze during periods of reluctant democratisation of the 19th and hasty de-democratisation of the 20th century and how the changing majority-minority configurations and clashed reached the climax in the turmoil if 1939-1945 period. The partially coincidental, however fully accepted by political elite as well as public, strategy of violent homogenisation of the territory of the Czech Lands after the World War II did not remain without consequences for the recent politics of minority issues in the Czech Republic. By analysing the claims of politically relevant and in the same time contentious minority issues, such as situation of Czech Roma population and different strategies of its politicisation, the paper will not only show path dependency on experiences with violent unification and homogenisation of the Czech Lands but it will address important issue of how to cope with minorities, that are – for different reasons – unable to set the coherent political appeal of claims and to create sound minority. The experience with these “silent” but visible minorities with huge and risky potential of arousing political conflicts can bring some lessons for larger European Union of today.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.087
Threshold uncertainty score0.292

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.001
Scholarly communication0.0080.005
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0870.022

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.

Opus teacher head0.043
GPT teacher head0.280
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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