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Record W7114462542

FAMILY VULNERABILITY, MENTAL HEALTH AND EXECUTIVE FUNCTIONS IN ADOLESCENTS IN BASIC EDUCATION

2025· article· en· W7114462542 on OpenAlexaboutno aff

Bibliographic record

VenuePhilPapers (PhilPapers Foundation) · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Skills and Education
Canadian institutionsnot available
Fundersnot available
KeywordsExecutive functionsFeelingMental healthPerceptionCognitionTest (biology)Vulnerability (computing)
DOInot available

Abstract

fetched live from OpenAlex

This article is the result of research on the influence of family vulnerability on the executive functions of adolescents in an educational institution in Tuluá, Colombia, during the year 2023. The study, a mixed-methods approach with a sequential explanatory design, included ten participants aged 11 to 17. An adaptation of the Multifactorial Exploratory Questionnaire of Cooperation and Aggression, the Montreal Cognitive Assessment, and the Rey-Osterrieth Complex Figure Test were used, complemented by semi-structured interviews. The results revealed that 40% of the participants live with family members who consume psychoactive substances; 30% report feeling misunderstood or undervalued; 40% have experienced punitive measures such as beatings, intense arguments, insults, humiliation, and disdain; 30% have a negative perception of neighborhood safety; 90% have had problems for not following family rules; 30% have difficulties expressing their feelings; 70% have negative thoughts about themselves, and 30% have had suicidal ideations. Regarding executive functions, 70% scored below expectations on the Montreal Cognitive Assessment, and their percentiles in the ReyOsterrieth Complex Figure Test showed variability. These findings indicate that family vulnerability negatively influences executive and verbal fluency, planning, and decisionmaking in adolescents. Lack of emotional support and exposure to violent environments were highlighted as critical factors that deteriorate mental health and confidence in their abilities

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 score0.221
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.017
GPT teacher head0.346
Teacher spread0.329 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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