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Record W3005708903 · doi:10.1177/1044389419891333

“I’m in Between”: Cultural Identities of Chinese Youth in Canada

2020· article· en· W3005708903 on OpenAlexafffundabout
Lin Fang, Yu‐Te Huang

Bibliographic record

VenueFamilies in Society The Journal of Contemporary Social Services · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNegotiationCultural identitySociologyIdentity (music)Gender studiesContext (archaeology)ImmigrationPolitical scienceSocial scienceGeographyAesthetics

Abstract

fetched live from OpenAlex

This constructivist grounded theory study unpacks how Chinese youth in Canada navigate and negotiate their cultural identities. Participants aged 16 to 24 years ( N = 22) were invited to provide a biographic account of where they were born and raised, the social contexts they interacted with, and how they grappled with their cultural identities growing up. Despite noting the differences between Chinese and Canadian cultures, participants found the concepts of culture elusive and questioned the categorical notion of culture. They indicated their cultural identity as being “in-between,” and their identity development as an ongoing, nonlinear process, involving a constant exchange between them and their environments. Study results highlight the fluid and nonstatic nature of cultural identity development in the context of immigration.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score0.449

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.063
GPT teacher head0.380
Teacher spread0.317 · 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 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

Citations7
Published2020
Admission routes3
Has abstractyes

Explore more

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