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Record W4353062937 · doi:10.5772/intechopen.110382

Disappearing Community and Preserved Identity: Indigenous Gottscheers in Slovenia

2023· book-chapter· en· W4353062937 on OpenAlexaboutno aff
Ksenija Šabec

Bibliographic record

VenueIntechOpen eBooks · 2023
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLinguistic Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsGermanIndigenousEthnic groupEmigrationAgrarian societyHuman settlementEthnologyIdentity (music)Cultural identityCultural heritageGeographyPolitical scienceHistoryLawArchaeologyAgricultureArtAesthetics

Abstract

fetched live from OpenAlex

The chapter is a case study of the indigenous Gottscheers in contemporary Slovenia. They were one of the eldest German ethnic communities outside of German and Austrian territory and the only agrarian German linguistic island on Slovenian territory after the WW1. However, their settlements and cultural landscape and heritage had been wiped out almost entirely due to the Gottscheers’ wartime and postwar emigration/eviction (mainly to the USA and Canada), the WW2, and post-war decay, marginalization, depopulation as well as village and cultural monument destruction and Slovenianization. According to the UNESCO Atlas of the World’s languages in Danger, the Gottscheer language is defined as “critically endangered”. The number of today’s Gottscheers in Slovenia is small, less than 300, or around 1000 including descendants and sympathizers. However, on the other hand, contemporary Association of Cultural Societies of the German Speaking Ethnic Communities in Slovenia as an umbrella organi¬zation of predominantly Styrian Germans aspires to acquire legal minority status for the German-speaking community in Slovenia (including Gottscheers). The aim of the chapter is therefore to detect contemporary perceptions of a marginalized and disappearing Gottscheers’ community and mechanisms to preserve and finally incorporate its identity into the Slovenian (and broader) cultural space and collective memory.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.810
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.163
GPT teacher head0.319
Teacher spread0.156 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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