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Record W4392424020 · doi:10.6000/1929-4409.2020.09.342

Formation and Development of Cultural Competence by Increasing Access to Material Forms of Historical and Art-History Heritage

2021· article· en· W4392424020 on OpenAlexvenueno aff
Hanna Chmil, Iryna Zubavina, Інна Кузнєцова, Maryna Mishchenko

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2021
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsCultural heritageCompetence (human resources)AestheticsHistorySociologyVisual artsAnthropologyArtPsychologyArchaeologySocial psychology

Abstract

fetched live from OpenAlex

The formation of the practical competence of the cultural cycle is determined, first of all, by the formation of access to the fund of material and non-material forms of art, which makes it possible to expand the possibilities of an individual to increase his cultural level. The relevance of the study is determined primarily by the fact that each individual must not only carry out his practical activities but also form an understanding of the meaning of cultural studies in his mind. In this regard, and in the context of overcoming crisis phenomena in the economy, turning to non-material forms becomes a priority task for bearers. The novelty of the research is determined by the possibilities of increasing access to cultural products, while the importance of access is determined not only by high culture. The authors show that the ability to access forms of mass culture also matters. It is shown that one of the possibilities of access to popular culture is to increase the level of distribution of library access. Using the example of countries that declare their commitment to raising the cultural level of the population, the necessity for the development of digital educational resources is shown. The practical significance of the study is determined by the possibilities of widely involving the population in the processes of digitalisation of information carriers about art and, on the basis of this, about the formation of general cultural competence in society as a whole.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.006
Scholarly communication0.0070.004
Open science0.0010.011
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.109
GPT teacher head0.335
Teacher spread0.226 · 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 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

Citations2
Published2021
Admission routes1
Has abstractyes

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Same venueInternational Journal of Criminology and SociologySame topicEducational Innovations and ChallengesFrench-language works237,207