Parental Supervision, Executive Functions, and Emotional-Behavioral Problems in Chinese Immigrant and Italian Nonimmigrant Early Adolescents in Italy
Bibliographic record
Abstract
The current study aimed to examine whether executive functioning (EF) moderates the expected association between poor parental supervision and emotional-behavioral problems among early adolescents with and without a migration background in Italy. In total, 97 Chinese immigrant and 165 Italian nonimmigrant early adolescents, aged 11 to 13 years (52% girls), completed a series of performance and computer-based tasks assessing their EFs, whereas primary caregivers rated their own parental supervision and their offspring’s emotional-behavioral problems. Regression analyses indicated that in both groups, a better working memory capacity was associated with fewer problems. Moreover, low levels of inhibitory control strengthened the association between poor parental supervision and emotional-behavioral problems. In addition, among Chinese immigrant youth, higher levels of cognitive flexibility enhanced the link between poor parental supervision and emotional-behavioral problems. Results underscore the importance of parental supervision and EF processes for Chinese immigrant youths’ psychological functioning.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".