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Record W2804675437 · doi:10.5539/res.v10n2p190

Journey of Goranis’ from Bogomils’ to Islam

2018· article· en· W2804675437 on OpenAlexvenueno aff
Muharrem Qafleshi

Bibliographic record

VenueReview of European Studies · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Development and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBulgarianIslamSerbianPopulationMacedonianSlavic languagesIdentity (music)EmpireCultAncient historyOttoman empireEthnic groupHistoryGeographyEthnologySociologyPolitical scienceLawArchaeologyClassicsPoliticsArtDemographyAesthetics

Abstract

fetched live from OpenAlex

The Gora region today is located in the border triangle between Albania, Kosovo and Macedonia. For several decades, the identity of this population isunder dispute. There have been numerous attempts by Serbs, Bulgarians and Macedonians, and they continue today, to represent the population of this region as having Serbian, Bulgarian or Macedonian origin. Based on the history of this region and a number of elements of culture, characteristic houses, national dresses, songs, dances, habits and customs that are preserved among the residents, it is unclear because the language is a mixture of Slavic languages while the habits and customs are very close to those of Albanians. One of the versions of ethnic identity of Goranis’is the connection with Torbeshis’as the last remnants of Bogomils’, a heretical religious movement. Same as Opojans’ also the Goranis’ today belong entirely to the Muslim religious group. There are numerous evidences for cult objects such as mosques and shrines built earlier than the expansion of the Ottoman Empire in our region. With the expansion of Ottoman Empire in the Albanian lands, also the population of Opoja and Gora embraced Islam, today this population is entirely Muslim, and in each village, there are mosques of modern architecture and very beautiful minarets.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.143
GPT teacher head0.306
Teacher spread0.163 · 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 designQualitative
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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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