Navigating a Diverse and Globalized World: Pathways to Resilience Among Early Adolescents With an Immigrant Background Introduction to the Special Issue
Bibliographic record
Abstract
Globalization and digitalization have brought about rapid changes in society, contributing to an increase in diversity as well as in social inequalities and tensions between communities and identities. This rapidly changing world presents both challenges and opportunities for early adolescents. This special issue aims to investigate how early adolescents navigate this context of increasing diversity and polarization across different realities and countries (i.e., Canada, South Korea), with a specific focus on the unique experiences of youth with a migration background. Multiple methodologies and perspectives are presented, providing a rich foundation for future research. A social justice and strength-oriented perspective that addresses the structural inequities and injustices faced by youth within a socio-ecological framework in both research and intervention is warranted. Youth-led participatory initiatives are promising ways to support and empower immigrant youth’s development in the present socially polarized context.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".