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Record W4408416833 · doi:10.55302/ispjr2448178b

INDIVIDUAL RELIGIOUS IDENTIFICATION OF THE POPULATION IN THE OHRID-STRUGA REGION

2024· article· en· W4408416833 on OpenAlexaff
Bashkim Bashkimi, Gyulizara Bashkimi

Bibliographic record

VenueAnnual of the Institute for Sociological, Political and Juridical Research · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicReligious, Philosophical, and Educational Studies
Canadian institutionsCommunications Security Establishment
Fundersnot available
KeywordsIdentification (biology)PopulationGeographyDemographySociologyBiologyEcology

Abstract

fetched live from OpenAlex

Major changes in society, both economic and political, as well as social, are also accompanied by changes in value priorities in the social system of values.Those changes are quite dynamic and intense.Exposed to the influences of social, political and cultural developments, people find it more difficult to adapt and lose confidence in their own abilities to solve the many important tasks they face.People look for help in solving these tasks in religion, which through its teachings offers a philosophy of life, which is in line with the teachings of a certain denomination, that is, it establishes a mutual relationship with them, while offering solutions to people for the many issues they are faced with in everyday life.Of course, the role of the confessional communities, which through their activities and organizational forms, are increasingly trying to attract attention, while filling the gaps that other social institutions and organizations have failed to fill, is also important.The research was carried out in the Ohrid-Struga region, which includes the municipalities of Ohrid, Struga, Vevcani and Debarca, a region in which two confessional communities operate, namely: the Macedonian Orthodox Church -Ohrid Archdiocese and the Islamic Religious Community, and which with its characteristics as a multi-ethnic and multi-confessional environment represents in some way a minimized form of the Macedonian multicultural, that is, multi-ethnic and multi-confessional society.In this research, we started from the premise that religiosity is correlated with the following socio-demographic characteristics: religious affiliation, gender, age, place of residence (city-village), marital status, level of education, occupation of respondents, number of members in the household and the social status of the respondents.This paper will present part of the research results that refer to only one segment, that is, the individual religious identification among the population in the Ohrid-Struga region according to socio-demographic characteristics.

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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.153
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.164
GPT teacher head0.456
Teacher spread0.292 · 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
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

Citations0
Published2024
Admission routes1
Has abstractyes

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