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Record W1576158864 · doi:10.1921/swssr.v17i3.795

Fetal Alcohol Spectrum Disorder: A disability in need of social work education, knowledge and practice

2015· article· en· W1576158864 on OpenAlexaff
Dorothy Badry, Peter Choate

Bibliographic record

VenueSocial Work and Social Sciences Review · 2015
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsMount Royal UniversityUniversity of Calgary
Fundersnot available
KeywordsFetal Alcohol Spectrum DisorderSocial workPsychological interventionPsychologyFetal alcoholWork (physics)Autism spectrum disorderOrder (exchange)Medical educationMedicineEngineering ethicsDevelopmental psychologyAutismPsychiatryPregnancy

Abstract

fetched live from OpenAlex

Fetal Alcohol Spectrum Disorder (FASD) is a non-diagnostic umbrella term that describes a range of effects that can occur as a result of a mother consuming alcohol during pregnancy (SAMSHA, 2014). Awareness of the need for professionals to become educated on FASD has emerged as a critical topic in the field of social work and child welfare practice specifically. The social work practice response to children and families, in order to be effective, must develop and emerge from an FASD Informed Practice lens – which implies particular knowledge and competencies in practice. This article will highlight the need to recognize FASD as a disabling condition and identify why training and knowledge is essential in order to work effectively with children and families. Further, an educational pathway to FASD informed practice in relation to a broad array of interventions and enabling/supportive approaches relevant to social work theory will be identified. The focus of this paper is to identifying why knowledge and education on FASD is important to social work practice.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
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 head0.040
GPT teacher head0.377
Teacher spread0.337 · 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

Citations15
Published2015
Admission routes1
Has abstractyes

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