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Record W1777117143

Religion as Mechanism of Adaptation for Immigrants: The Case of African Migrant Students in a South African Tertiary Institution

2014· article· en· W1777117143 on OpenAlexaboutno aff
JM Muthuki

Bibliographic record

VenueJournal of Social Development in Africa · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsReligiositySalience (neuroscience)ImmigrationSociologyNegotiationContext (archaeology)Social capitalInstitutionGender studiesPolitical scienceSocial psychologyPsychologySocial scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

While most scholars acknowledge the salience of migrants' transnational economic, political and socio-cultural practices, it is only recently that they have begun to pay attention to the relationship between religion and migration. Migration affects the entirety of a person's being because it involves an emotional crisis caused by the migrants' separation from their natural physical and social environment and a psychological problem of adjusting to the new one. Religious beliefs appear to be useful in serving to restore the inner balance of an individual and reducing the levels of anxiety amongst immigrants. Previous immigrant religion research has however focused mostly on immigrants in America with a recent focus on Canada, Australia, and Western Europe. This paper however focuses on a different context in Africa by examining the role of religion in the adaptation experiences of migrants from other African countries who have migrated to South Africa for study purposes. Using in-depth interviews, the paper examines the different ways in which religion influences their adaptation into the new context. The findings reveal that migration increases religiosity among migrants, facilitates aspects of immigrant adaptation such as academic achievement, emotional adjustment, negotiation of gender identity and building of social capital through social networks. Keywords: Religious Beliefs, Immigrant Adaptation, Social Networks, Gender Identity

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)0.003
metaresearch head score (Gemma)0.001
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 score0.065
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.287
Teacher spread0.267 · 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
Published2014
Admission routes1
Has abstractyes

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