MétaCan
Menu
Back to cohort
Record W2068511037 · doi:10.5539/ijps.v6n2p36

Adaptive Functioning, Social Skills, Mental Health, and Personal Strengths among Adolescents with Prenatal Alcohol Exposure (PAE)

2014· article· en· W2068511037 on OpenAlexaffvenue
Jennifer Mariasine, Jacqueline Pei, Cheryl Poth, Dorothy Henneveld, Carmen Rasmussen

Bibliographic record

VenueInternational Journal of Psychological Studies · 2014
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyFetal Alcohol Spectrum DisorderMental healthAdaptive functioningPopulationClinical psychologyDevelopmental psychologySocial skillsPrenatal alcohol exposurePsychiatryAlcoholPregnancyMedicine

Abstract

fetched live from OpenAlex

Three key areas of dysfunction reported as having a significant impact on how adolescents with Prenatal AlcoholExposure (PAE) navigate their teen years and work towards independence are: mental health, social skills, andadaptive functioning. However, little is known about how adolescents with PAE perceive their own functioningrelative to others, and what they and others see as potential strengths on which they may build. Participantsincluded 32 adolescents (17 male, 15 female); 31% had confirmed prenatal exposure to alcohol (PAE) and theremaining 69% had a diagnosis of a Fetal Alcohol Spectrum Disorder (FASD). Adolescents and their caregiverscompleted the following measures: ABAS-2 (adaptive skills), SSIS (social skills), BASC-2 (mental healthfunctioning), and BERS-2 (personal strengths). Overall, caregivers rated adolescents as having significantlymore difficulties across all measures assessed when compared to the adolescents. The only area of agreementbetween caregiver and adolescents prenatally exposed to alcohol was on career strength. The knowledge gainedfrom the results of this exploratory study can help adolescents with PAE better understand themselves and helpresearchers to better characterize this population.

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)0.000
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 score0.142
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.024
GPT teacher head0.342
Teacher spread0.318 · 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
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Psychological StudiesSame topicPrenatal Substance Exposure EffectsFrench-language works237,207