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Record W7017383753

Bangladshi Muslim immigrant parent-adolescent relationships: their dual perspectives in a Canadian context

2018· article· en· W7017383753 on OpenAlexaboutno aff

Bibliographic record

VenueOpen ULeth Scholarship (OPUS) (University of Lethbridge) · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationOptimismContext (archaeology)Cognitive dissonanceSiblingDual (grammatical number)Quality (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

Intergenerational cultural dissonance is commonly noted in the literature between immigrant parents and children. Focusing on Canadian Muslim Bangladeshi families, this study gives the dual accounts of the processes that strengthen or strain immigrant parents and their adolescent children as they renegotiated their relationship after immigration. The dual perspectives revealed that gender rules, career expectations, dissonance in cultural values, bullying in school and lowered socio-economic status of the parents are major sources of strains. Themes of shared cultural and religious values, mutual empathy, flexible parenting and quality leisure time provided a sense of rootedness, family cohesion, and suSpport. Friendships, sibling support and an external social network offered assurance of understanding and practical assistance that alleviated strains for parents and adolescents. Larger social and institutional policies for equal educational and career opportunities shored up immigrants’ optimism about their future and contributed to a hopeful and positive outlook. Processes within and outside the family work in tandem to strengthen or strain the quality of relationships between Bangladeshi immigrant parents and their adolescent children.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.004

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 head0.113
GPT teacher head0.244
Teacher spread0.131 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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