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Record W2896308843 · doi:10.7939/r30z7149q

Everyday Family Life of Intercultural Families with Young Children

2015· article· en· W2896308843 on OpenAlexaboutno aff
Carina Goehing

Bibliographic record

VenueUniversity of Alberta Library · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsEveryday lifeFamily lifePsychologyDevelopmental psychologySociologySocial psychologyGender studiesPolitical science

Abstract

fetched live from OpenAlex

Intercultural relationships in Canada have been increasing during the past decades. Research in this area has typically focused on the couple rather than considering the family unit and little is known about family functioning in this population. Thus, the central purpose of this study was to explore and describe family functioning of intercultural families with young children and how it is shaped by various influential factors. Data were generated through genogram family interviews with five married couples and subsequent semi-structured individual interviews with each of the five mothers and five fathers. Among the five families, all five mothers were first generation (foreign-born) and all five fathers were Canadian-born second or later generation. Data were analyzed using qualitative content analysis. Findings highlighted six main features important to successful family functioning: having effective communication, spending “fun times” together, sharing family roles, family rituals, common goals and values, and providing and receiving support. These dimensions show important similarities as well as some differences compared to previous research on family functioning. In comparison to current models of family functioning, the findings also indicate the need to consider the complex and reciprocal relationships among culture, individual factors, social and economic conditions, and family functioning.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.793
Threshold uncertainty score0.416

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.004
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.191
Teacher spread0.182 · 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 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

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

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