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Record W1608476802 · doi:10.5539/ijps.v7n3p67

Hyperactive Behaviors from Childhood to Adolescence: Prospective Outcomes in a Sample of Spanish Children

2015· article· en· W1608476802 on OpenAlexvenueno aff
Estrella Romero, Cristina Alonso

Bibliographic record

VenueInternational Journal of Psychological Studies · 2015
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
FundersPlan Nacional sobre Drogas
KeywordsPsychologyDevelopmental psychologyNeuroticismContext (archaeology)ConscientiousnessPsychosocialPersonalityBig Five personality traitsSocial environmentClinical psychologyExtraversion and introversionSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

The continuity of hyperactivity problems over time has become a major focus of attention for developmental and clinical psychologists. However, research in diverse ethnical and sociocultural contexts is needed so as to identify to what extent the findings are generalizable beyond the settings in which these studies are usually conducted. This work analyzes a) the development of parent-reported hyperactivity from childhood to adolescence in a sample of Spanish children, and b) the implications of hyperactivity in terms of adolescent psychosocial adjustment and personality traits. Longitudinal data collected from a sample of 138 Spanish children over a six-year interval was analyzed. Results show that although hyperactive behaviors tend to decrease as children grow, childhood hyperactive problems are related to relatively high levels of emotional, behavioral and social maladjustment in adolescence; hyperactive behaviors in childhood are also related to high Neuroticism and low Conscientiousness in adolescence. This prospective study confirms, in a Mediterranean European context, the impact of hyperactive behaviors not only for the development of behavioral problems but also for the configuration of personality traits.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.008
Threshold uncertainty score0.521

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.062
GPT teacher head0.401
Teacher spread0.339 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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