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Record W2902231227 · doi:10.1177/0272431618812157

Parental Supervision, Executive Functions, and Emotional-Behavioral Problems in Chinese Immigrant and Italian Nonimmigrant Early Adolescents in Italy

2018· article· en· W2902231227 on OpenAlexaff
Diana Miconi, Ughetta Moscardino, Gianmarco Altoè, Silvia Salcuni

Bibliographic record

VenueThe Journal of Early Adolescence · 2018
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsMcGill University
FundersUniversità degli Studi di PadovaInnovative Research Group Project of the National Natural Science Foundation of China
KeywordsPsychologyAssociation (psychology)ImmigrationFlexibility (engineering)Developmental psychologyExecutive functionsOffspringClinical psychologyCognitionPsychiatry

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.276
Teacher spread0.261 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations12
Published2018
Admission routes1
Has abstractyes

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