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Record W4408724886 · doi:10.1111/jar.70034

Preliminary Evaluation of the Step‐by‐Step Parenting Program for Expectant Parents With Intellectual Disabilities

2025· article· en· W4408724886 on OpenAlexafffund
Maurice A. Feldman, Amanda Cappon, Kay Corbier, Vicky Caruana, Mechane Laronde, Kendra Thomson

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2025
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsDurham CollegeBrock University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIntellectual disabilityParenting skillsPsychologyDevelopmental psychologyMedicineClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: This study evaluated the Step-by-Step Parenting Program (SBSPP) to prepare expectant parents with intellectual disabilities to care for their newborns. METHOD: Two expectant parents with intellectual disabilities were seen once or twice weekly in their homes for about 2 h over 16 and 20 weeks (21 and 27 sessions), respectively. The key measure was percentage correct scores on parenting skill checklists with an infant simulator (IS) and eventually the newborn. Newborn-care skills trained were sponge bath, dressing, ear and nose care, and treating cradle cap. SBSPP-IS training consisted of instructions, prompting, modelling, and feedback. Multiple baselines across skills and participant designs were used. RESULTS: Trained skills increased and transferred to the newborns. Both parents have maintained custody of their infants for over 1 year. CONCLUSION: This study provides preliminary evidence that prenatal parent training may help expectant parents with intellectual disabilities to properly care for their newborns.

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)0.011
metaresearch head score (Gemma)0.033
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.550
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.147
GPT teacher head0.451
Teacher spread0.304 · 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.

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

Citations1
Published2025
Admission routes2
Has abstractyes

Explore more

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