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Record W2886394718 · doi:10.46743/1540-580x/2018.1765

Understanding and Supporting Adults with Fetal Alcohol Spectrum Disorder - Strategies for Health Professionals: an Opinion Piece

2018· article· en· W2886394718 on OpenAlexaff
Amy Martyniuk, Sherri Melrose

Bibliographic record

VenueInternet Journal of Allied Health Sciences and Practice · 2018
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsMinistry of Community Safety and Correctional ServicesAthabasca UniversityManitoba Health
Fundersnot available
KeywordsFetal Alcohol Spectrum DisorderPsychiatryFetal alcoholPregnancyFetal alcohol syndromeMedicineAlcoholHealth professionalsPrenatal alcohol exposureBroad spectrumPrenatal exposureCognitionClinical psychologyPsychologyGestationHealth care

Abstract

fetched live from OpenAlex

Fetal Alcohol Spectrum Disorder (FASD) is a non-diagnostic umbrella term used to describe the spectrum of lifelong physical, mental and intellectual disabilities that can result from prenatal exposure to alcohol. Fetal Alcohol Spectrum Disorder is preventable when pregnant women abstain from drinking any type or amount of alcohol at any time during pregnancy. One in 100 children worldwide are affected. Prompt diagnosis and treatment referrals for infants and children improve functionality. Yet, conditions related to fetal alcohol exposure frequently remain unrecognized and untreated. Adults with both diagnosed and hidden Fetal Alcohol Spectrum Disorder experience significant cognitive, behavioral and executive functioning deficits. Co-morbid physical and psychiatric disorders are common. This editorial provides health professionals with information to understand and support adults with Fetal Alcohol Spectrum Disorder. Specific strategies related to initiating referrals to community services, communicating intentionally and responding positively to behavioral challenges are discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.012
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0030.005
Open science0.0010.002
Research integrity0.0120.014
Insufficient payload (model declined to judge)0.0100.003

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 head0.117
GPT teacher head0.448
Teacher spread0.331 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations1
Published2018
Admission routes1
Has abstractyes

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