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Record W2126836692 · doi:10.1300/j039v08n03_01

Challenges of Parenting Children with a Fetal Alcohol Spectrum Disorder: A Concept Map

2004· article· en· W2126836692 on OpenAlexaff
Jason Brown, Lisa M. Bednar

Bibliographic record

VenueJournal of Family Social Work · 2004
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFetal Alcohol Spectrum DisorderFetal alcoholPsychologyFetal alcohol syndromeDevelopmental psychologyClinical psychologyMedicinePsychiatryAlcoholPregnancyGenetics

Abstract

fetched live from OpenAlex

The purpose of the study was to describe the challenges of parents of children with a fetal alcohol spectrum disorder (FASD). Nineteen birth, foster or adoptive parents were asked to answer the following question: “What are the challenges you face parenting a child with a fetal alcohol spectrum disorder?” The data were analyzed using multidimensional scaling and cluster analysis. Eight clusters resulted. Parents reported the challenges of preventing setbacks in their children's behavior, making time for themselves, making and keeping immediate and longer-term plans with their child, collaborating with the school, keeping the child involved in social activities, keeping their family involved in social activities, being heard by professionals, and managing their child's behavior problems. The themes were consistent with the literature on parenting children with a FASD, with the exception that participants in the study indicated that they found a lack of respect from professionals with whom they came into contact, challenging.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.005
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.268
Teacher spread0.248 · 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 designQualitative
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

Citations48
Published2004
Admission routes1
Has abstractyes

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