Newcomer Children: Experiences of Inclusion and Exclusion, and Their Outcomes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article explores the potential inclusion and exclusion factors affecting the developmental outcomes of immigrant children, and examines the influence of inclusive school environment, social/psychological isolation, and perceived discrimination by peers and teachers on the psychosocial and academic adjustment of immigrant children. Our study is based on a subset of data from the New Canadian Children and Youth Study (NCCYS), a national longitudinal survey including 515 foreign-born immigrant children (11 to 13 years) from three ethnic groups (Mainland China, Hong Kong, the Philippines) living in the Montreal and Toronto metropolitan areas, Canada. The results show that after controlling for socio-demographic background variables, teachers’ discriminatory attitudes and psychological isolation contribute to the prediction of risk for immigrant children’s self-esteem, social competence, and academic performance. Inclusive school environment has a significant effect on social competence and academic performance of immigrant children. Peer discrimination is also associated with self-esteem and social competence. These findings suggest that inclusive school environment, social/psychological isolation, and discrimination are critical factors affecting the developmental outcomes of immigrant children that, in turn, are connected to future prospects for their eventual inclusion and participation in other social, economic, and political venues of the host country.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 it