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Record W2879299937 · doi:10.1177/0192513x18783465

Perception of Sibling Relationships and Birth Order Among Asian American and European American Emerging Adults

2018· article· en· W2879299937 on OpenAlexaff
Kaidi Wu, Jacqueline H. J. Kim, Donna K. Nagata, Stephanie I. Kim

Bibliographic record

VenueJournal of Family Issues · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsInstitute for Christian StudiesUniversity of Toronto
FundersNational Institute of Mental Health
KeywordsBirth orderSiblingPerceptionDevelopmental psychologyPsychologySibling relationshipOrder (exchange)DemographySociologyPopulation

Abstract

fetched live from OpenAlex

Drawing from an ecological systems framework, we qualitatively explored how Confucian-heritage Asian American emerging adults compared with non-Hispanic European American emerging adults on views of sibling relationships and birth order. Thematic analysis of 48 semi-structured interviews revealed positive sibling relationship themes for both ethnocultural groups: mutual support, companionship, and appreciation; comfort from shared burden of negative parental interactions; and pride in one another. Birth-order themes were also similar across the groups. First-borns overall reported a strong pressure to be a role model to later-borns, provide sibling care, assume family responsibilities, and not expect to rely on younger siblings. Despite these similarities, Asian American first-borns were unique in taking comfort in having siblings who shared a less traditional Asian cultural perspective than their parents. They also described additional pressure from being the oldest within an immigrant family.

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 score0.025
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.018
GPT teacher head0.308
Teacher spread0.290 · 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

Citations32
Published2018
Admission routes1
Has abstractyes

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