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Record W2170712976 · doi:10.7202/1071408ar

Parents with Fetal Alcohol Spectrum Disorders in the child protection systems: Issues for parenting capacity assessments

2020· article· en· W2170712976 on OpenAlexaffvenueabout
Peter Choate

Bibliographic record

VenueFirst Peoples Child & Family Review An Interdisciplinary Journal Honouring the Voices Perspectives and Knowledges of First Peoples · 2020
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsMount Royal University
Fundersnot available
KeywordsFetal Alcohol Spectrum DisorderContext (archaeology)Perspective (graphical)Fetal alcoholPsychologyCollectivismDevelopmental psychologyWelfareChild protectionIndividualismClinical psychologyMedicineAlcoholPolitical sciencePregnancyComputer science

Abstract

fetched live from OpenAlex

Parents who have or are thought to have Fetal Alcohol Spectrum Disorder (FASD) are often involved in the child protection systems, although there is little data to establish actual frequency. First Nations parents are over represented. There is often a presumptive bias that individuals with disabilities, including FASD, are not capable of raising their children. Such a bias is unwarranted. Assessing FASD parents requires a view of functional capacity along with consideration of how the parent could accomplish the role and if needed, with what supports. Both a context and process for Parenting Capacity Assessments (PCAs) in these cases is recommended. There is a need for the assessments to exist within a cultural context, including the use of the Medicine Wheel. The individualistic perspective of most Canadian child welfare systems may not match the collectivistic approach to parenting in an Aboriginal family system although it is from the former position that most PCAs are conducted.

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)0.076
metaresearch head score (Gemma)0.158
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.213
Threshold uncertainty score0.424

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0760.158
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0050.005
Scholarly communication0.0060.009
Open science0.0030.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.312
Teacher spread0.285 · 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

Citations7
Published2020
Admission routes3
Has abstractyes

Explore more

Same venueFirst Peoples Child & Family Review An Interdisciplinary Journal Honouring the Voices Perspectives and Knowledges of First PeoplesSame topicPrenatal Substance Exposure EffectsFrench-language works237,207