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Record W4412418010 · doi:10.34132/pard2025.28.09

EUROPEAN AND WORLD PRACTICES OF FORMING A COMPREHENSIVE HUMANITARIAN SPACE

2025· article· en· W4412418010 on OpenAlexaboutno aff
П. В. Опанащук

Bibliographic record

VenuePublic Administration and Regional Development · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsSpace (punctuation)Political scienceComputer science

Abstract

fetched live from OpenAlex

The article examines the formation of a comprehensive humanitarian space in modern conditions. It is determined that it is gaining strategic importance, as it encompasses the integration of policies in the spheres of culture, education, preservation of cultural heritage, formation of national identity, as well as the regulation of interethnic and interfaith relations. The article analyzes the main theoretical approaches to humanitarian policy, presented in the works of Pierre Bourdieu, Stuart Hall, Arjun Appadurai and John Tomlinson. Particular attention is paid to the analysis of cultural practices as a mechanism of social mobilization and a means of ensuring social integration. The international experience of forming a humanitarian space is studied using the example of Great Britain, France, Germany, Italy, Spain, the USA, Canada, Japan and South Korea. Key trends and challenges in the development of humanitarian policy in the context of globalization are identified, in particular the impact of digitalization, which opens up new opportunities for intercultural communication, interactive knowledge exchange and the formation of a common information space. Special attention is paid to the Ukrainian context of the formation of the humanitarian space. The processes of adaptation of European and world experience are analyzed, in particular in the field of state regulation of cultural policy and mechanisms for preserving national identity. Key challenges are identified: uneven distribution of funding for cultural initiatives, language barriers, digital inequality, problems of intercultural interaction and information security. The results of the study can be used to develop public administration strategies aimed at preserving cultural heritage, developing educational institutions, strengthening national identity, and ensuring information security in the context of digital transformation and global challenges.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.982
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.061
GPT teacher head0.342
Teacher spread0.281 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2025
Admission routes1
Has abstractyes

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