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Record W4200329437 · doi:10.1002/bsl.2550

The neurocognitive profiles of justice involved people with foetal alcohol spectrum disorder: A systematic review

2021· review· en· W4200329437 on OpenAlexaff
Najat Khalifa, Taylor Magee, Shayan Shirazi, Shamir Salman, Cheng‐Chang Yang, Mansfield Mela

Bibliographic record

VenueBehavioral Sciences & the Law · 2021
Typereview
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsUniversity of SaskatchewanQueen's University
Fundersnot available
KeywordsNeurocognitivePopulationEconomic JusticeIntervention (counseling)PsychologySystematic reviewClinical psychologyCognitionPsychiatryMedicineMEDLINEEnvironmental healthPolitical science

Abstract

fetched live from OpenAlex

Foetal alcohol spectrum disorder (FASD) is highly prevalent in criminal justice settings. Despite increased awareness of the neurocognitive deficits among justice-involved individuals with FASD, no systematic evaluation of the literature in the field has been conducted to date. We aimed to conduct a systematic review of the literature on the neurocognitive profiles of justice-involved individuals with FASD, by searching five key electronic databases, dissertations database, and Google scholar, up to January 2021. The findings indicate that when contrasted with comparison groups, justice-involved individuals with FASD display significant impairment in a greater number of neurocognitive domains including intellectual capacity, executive function, language, academic achievements, motor skills, and adaptive living skills. The relatively small number of the studies included in the review, along with the confounding effects of comorbidities among study participants, precludes drawing firm conclusions about the true extent and implications of neurocognitive deficits in this population. To advance the field further, there is an urgent need to conduct robust studies involving larger samples of justice-involved individuals with FASD and suitable comparison groups. Advancing knowledge in the field can have important implications for understanding of the antecedents of offending behaviour in this population, and informing strategies for early identification and intervention.

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)0.002
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: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.036
Threshold uncertainty score0.878

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.059
GPT teacher head0.362
Teacher spread0.303 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations5
Published2021
Admission routes1
Has abstractyes

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