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Record W7093803718

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2016· dissertation· uk· W7093803718 on OpenAlexaboutno aff

Bibliographic record

VenueElectronic scientific archive of UrFU (Ural Federal University) · 2016
Typedissertation
Languageuk
FieldSocial Sciences
TopicMinority Rights and Languages
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupAcculturationRomanianState (computer science)PoliticsTerm (time)Field (mathematics)
DOInot available

Abstract

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The complex mechanism of state regulation of ethnic relations in Ukraine within the subject field of the science "Public Administration" has been investigated in the dissertation. The system approach based on the scientific research of domestic and foreign scientists was carried out. National priorities and regional peculiarities of national ethnic policy of Ukraine were identified. The current terminological apparatus in the sphere of ethno-national policy of Ukraine has been systematized in the thesis. Definition interpretations of the terms "international integration", "national minority", "state ethno-national policy" were made. The term "kin-state" instead of commonly used "historical motherland" as well as the term "kin-minority" as the characteristic of a minority that shares common origin with the ethnic majority of the kin state were proposed . The acculturation theory of J. Berry, a Canadian sociologist, served as a basis for the analysis of minorities integration or disintegration processes. The dominant type of acculturation is defined by three parameters. The first one is the normative-legal basis (legislative regulation) which is established in the state, where a minority lives. It regulates their rights, establishes general freedoms for citizens as well as special preferences. The second parameter is the practice of involving minorities’ participation in a social and political life of the country with linguistic policy as an important component. The third one is the influence of a "kin-state” which can be manifested in different forms. European experience of the state regulation of ethno-political processes was analysed. It was stated that German-Danish experience and Romanian experience of cooperation with national-cultural societies could serve as positive examples of an integration model. It could be the most suitable one for being adapted to Ukrainian border regions. The analysis of the activities of regional state executive bodies of Chemivtsi oblast was performed. It concerned the implementation of an integration model of state regulation of ethno-national relations. The program-target approach was applied to formulating proposals in the sphere of state regulation of interethnic integration. Problems were structured and grouped into subproblems, their connection was defined. A specific means for eliminating the problems was offered. The sequence of program events and distribution of resources between them was formed. The mechanism for managing and supervising of the implementation of the program was worked out. The model of implementing interethnic integration in border regions was consructed. The model presupposes accomplishing the tasks in the following spheres: normative and legal regulation, ensuring participation of a minority in a social life, establishing cooperation with a "kin" state, institutional support of the course of actions on interethnic integration. Introduction of the mentioned tasks will facilitate the implementation of an integration model of state ethnic policy. A number of negative factors connected with stereotypes and segregation mood should be eliminated. In a long-term period, implementation of these actions will be one of the factors for decreasing emigration torrents from border regions. As a result of these actions, international concord will be achieved and minorities will be included in a political nation. Implementation of the model at a regional level may take place by means of adopting Regional program for interethnic integration of national minorities. The results of the investigation can be applied in the practice of state agencies and local governments and they can be used as the basis for further research in public administration of ethno-national relations.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.008
GPT teacher head0.236
Teacher spread0.228 · 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 designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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