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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".