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Record W4309707165 · doi:10.1111/imig.13095

Which social contacts with natives matter? Attitudes towards gender roles of Muslim immigrants and their children in Western Europe

2022· article· en· W4309707165 on OpenAlexaff
Ka U. Ng

Bibliographic record

VenueInternational Migration · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsMcGill University
Fundersnot available
KeywordsAcculturationImmigrationPrivate sphereMainstreamIdeologyPublic sphereInterpersonal tiesGender studiesSociologySocial psychologyPolitical sciencePsychologyPolitics

Abstract

fetched live from OpenAlex

Abstract Social contacts with mainstream individuals play a central role in acculturation. Yet, research has paid little attention to examining whether social contact with natives is linked to egalitarian gender role attitudes among Muslim immigrants and their children. Using a unique data set including 4584 Muslim immigrants and the second generation in six western European countries (EURISLAM), the study investigates whether public‐ and private‐sphere social contacts with natives are associated with attitudes towards women's employment and men's domestic roles. The findings show that immigrants and their children who report stronger private‐sphere social ties, that is native friends and family members, hold more egalitarian attitudes towards women's employment and men's domestic roles. However, public‐sphere social contacts (at the workplace and in the neighbourhood) are not associated with these attitudes. These results support theories stating that private‐sphere social contact with natives is important in gender role ideology acculturation among Muslim families.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.309
Teacher spread0.283 · 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 designObservational
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

Citations2
Published2022
Admission routes1
Has abstractyes

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