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Record W2910529342 · doi:10.4324/9780415963619-1

Introduction: Goals and Research Framework for Studying Immigrant Youth

2006· book-chapter· en· W2910529342 on OpenAlexaff
John W. Berry, Jean S. Phinney, Kyunghwa Kwak, David L. Sam

Bibliographic record

VenuePsychology Press eBooks · 2006
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsQueen's University
Fundersnot available
KeywordsImmigrationPolitical scienceSociologyPsychologyLaw

Abstract

fetched live from OpenAlex

This introduction presents an overview of the key concepts discussed in the subsequent chapters of this book. The book examines the nature of cultural diversity and the role that it may play in the acculturation and adaptation of immigrant youth. It explores differences in intercultural variables and adaptation in relation to time since immigration. The book analyses heir intercultural contacts, their language, their identifications with the national society and ethnic communities, and the quality of their lives as they live in these culturally diverse societies. As for youth everywhere, immigrant youth must deal with the transition between childhood and adulthood. An understanding of the role of development in the adaptation of immigrant youth requires consideration of both developmental and acculturative changes. Several models have been suggested to explain the differing outcomes for immigrant youth, based on work with particular groups of adolescents, but research does not provide clear support for a single model.

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)0.005
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0050.005
Scholarly communication0.0070.005
Open science0.0020.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0090.004

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 head0.164
GPT teacher head0.452
Teacher spread0.289 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations37
Published2006
Admission routes1
Has abstractyes

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