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Record W7161942318 · doi:10.82308/25620

Exploring academic and social adjustment of "Korean goose adolescents" in Canada

2012· dissertation· en· W7161942318 on OpenAlexaboutno aff
Mi Sook Jung

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsnot available
Fundersnot available
KeywordsGooseInterpretative phenomenological analysisLived experienceSocial change

Abstract

fetched live from OpenAlex

The purpose of this study is to explore the lived experiences of Korean "goose" adolescents who attempt to adjust themselves to academic and social environments in Canada. In this study, Korean goose adolescents are defined as those who come to English-speaking countries for a few years to seek out better learning opportunities; their fathers usually stay in Korea to earn money and provide economic support for their families, whereas the mothers take their children abroad to study (Choi, 2005b). Using an interpretive phenomenological analysis (IPA), the researcher conducted semi-structured and in-depth interviews with four Korean goose adolescents residing in Toronto. Findings revealed that these goose adolescents underwent significant adjustment difficulties. Despite their success in academic areas, they encountered various problems on a social level, due to both English language and cultural differences. However, they sought to develop adjustment strategies by obtaining practical assistance from co-ethnic groups: Korean churches and family members. They also attempted to change themselves into active, open-minded and independent learners. Although they still faced challenges and lacked sufficient support, they showed overall satisfaction with living and studying in Canada.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.080
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.002
Scholarly communication0.0020.001
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 head0.152
GPT teacher head0.373
Teacher spread0.221 · 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
Published2012
Admission routes1
Has abstractyes

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