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Record W3030987717 · doi:10.1111/fare.12454

Parent–Child Relationships Among African Immigrant Families in Canada

2020· article· en· W3030987717 on OpenAlexafffundabout
Bukola Salami, Dominic A. Alaazi, Sophie Yohani, Helen Vallianatos, Philomina Okeke‐Ihejirika, Tesfaye Ayalew, Christina Nsaliwa

Bibliographic record

VenueFamily Relations · 2020
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsAdministrative Sciences Association of CanadaWorkers Compensation Board of AlbertaUniversity of Alberta
FundersM.S.I. Foundation
KeywordsImmigrationSociocultural evolutionSocioeconomic statusSociologyGender studiesSocial psychologyPsychologyPolitical sciencePopulationDemography

Abstract

fetched live from OpenAlex

Objective To examine the factors that influence parent–child relationships in African immigrant families in Alberta, Canada. Background African immigrants are increasingly migrating to high‐income countries, including Canada, in search of a better life. These immigrants often face several challenges, including parenting their children in new sociocultural contexts. We present findings from a critical ethnographic study of parent–child relationships among African immigrants in Alberta, Canada. Method Informed by transnational feminist theory, we conducted interviews with 14 African immigrant community leaders, 31 African immigrant parents, and 12 service providers and policymakers. Results We found that conflicting cultural practices and value systems, shifting power relations, low socioeconomic status, and gender relations exert both beneficial and strenuous influences on parent–child relations. Conclusion The determinants of parenting practices and parent–child relationships include the intersecting influences of gender, social class, culture, and changing power relations across transnational spaces. Implications Our findings suggest several policy and practice implications. In particular, we suggest a need to attend to diverse determinants of child well‐being, including income, gender relations, culturally sensitive service delivery, and changing power relations across transnational spaces.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.264
Teacher spread0.216 · 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 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

Citations18
Published2020
Admission routes3
Has abstractyes

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