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Record W3120788405 · doi:10.21301/eap.v15i4.4

How (Un)Aware are Young People in Serbia and the Diaspora of Serbia’s Intangible Cultural Heritage?

2020· article· en· W3120788405 on OpenAlexaboutno aff
Dragana Antonijević, Miloš Rašić, Ana Banić Grubišić

Bibliographic record

VenueEtnoantropološki problemi / Issues in Ethnology and Anthropology · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Development and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSerbianDiasporaCultural heritageIntangible cultural heritagePopulationImmigrationCultural heritage managementGeographyPolitical scienceEthnologySociologyGender studiesArchaeologyDemography

Abstract

fetched live from OpenAlex

This paper is the result of work on the project “A Study of Awareness and Preservation of Intangible Cultural Heritage Among Young People in Serbia and the Diaspora” carried out in 2019. In view of the UNESCO recommendations that young people should be educated about the importance of cultural heritage as they are the key population in the process of its further preservation, the project was conceived with the aim of conducting a survey on the awareness of young people in Serbia and the diaspora of elements of intangible cultural heritage (ICH) protected in the National Register of ICH of the Republic of Serbia. A target group for the study was selected using the technique of nonprobability sampling, composed of a convenience sample of young people who are members of cultural societies in Novi Sad, Zrenjanin, Užice, Kraljevo and Niš, and also of third-generation Serbian immigrants in Vienna, Paris and Calgary who are members of Serbian cultural societies in these cities. Taking into account the fact that in cultural societies certain elements of ICH are practiced and learned, the hypothesis was that the target group would serve as a good indicator of the degree of awareness of protected elements of ICH on the national list, as most protected elements constitute rare customs. Related to this is the fundamental analytical question, namely, who does the ICH National List serve and who should be aware of the protected rare elements of intangible cultural heritage, to what degree and why. The research instrument used was a questionnaire with open-ended questions, and the data thus collected were consequently supplemented through interviews. Ten elements were selected from the ICH National List. 66 completed questionnaires were collected, 33 from Serbia and 33 from the diaspora. An analysis of the replies suggests that the degree of awareness among young people of ICH is relatively low.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
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 head0.026
GPT teacher head0.247
Teacher spread0.221 · 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 designObservational
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

Citations3
Published2020
Admission routes1
Has abstractyes

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