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Record W4388445395 · doi:10.17721/2522-4611.2023.47.10

FOREIGN RESEARCHES OF SOCIO-CULTURAL ADAPTATION PROCESS OF REFUGEES

2023· article· en· W4388445395 on OpenAlexaboutno aff
Mariia Kazmyrchuk

Bibliographic record

VenueThe Journal of Ukrainian History · 2023
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeAdaptation (eye)TypologyPoliticsSociologySocial scienceProcess (computing)Diversity (politics)Political sciencePsychologyAnthropologyComputer scienceLaw

Abstract

fetched live from OpenAlex

There are lots refugees in the world today. Therefore, the problems of their adaptation to the host society and culture comes a priority. Available foreign researches on these problems demonstrate a wide range of problems related to the socio-cultural adaptation of refugees. The purpose of the article is to review the work of representatives of the humanitarian sphere regarding the definition of key concepts of adaptation and the selection of modern scientific directions in its study. The research methodology is based on the historical method, the methods of historiographical analysis, synthesis and typology of scientific directions, and comparative analysis. Projects and scientific articles of researchers from the USA, Sweden, Germany, Norway, Belgium, Turkey, Canada, Malaysia, Indonesia and other countries were analyzed. The most important directions of socio-cultural adaptation research in the field of cultural anthropology, psychology, sociology, cultural studies and political science are defined. They all agree that this process is long and difficult, and does not always end positively for refugees. However, modern foreign researches demonstrate such a broad thematic diversity, to take into account the latest political and global social problems, that the definition of socio-cultural adaptation is enriched with new essential features. Classical theoretical works of the XX century regarding the adaptation of a person to the environment are now giving way to thorough researches of the adaptive capabilities of various categories of migrants, in particular refugees, which are based on practical developments, numerous interviews, questionnaires and surveys. European researchers pay considerable attention to the analysis of generations of refugees, while Russian researchers pay attention to individual features of socio-cultural adaptation.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score0.327

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.111
GPT teacher head0.390
Teacher spread0.280 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

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