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Record W4410098186 · doi:10.1111/jar.70062

Correction to “Preliminary Evaluation of the Step‐by‐Step Parenting Program for Expectant Parents With Intellectual Disabilities”

2025· erratum· en· W4410098186 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2025
Typeerratum
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyIntellectual disabilityParenting skillsMultiple disabilitiesDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Feldman, M. A., A. Cappon, K. Corbier, V. Caruana, M. Laronde, and K. Thomson. 2025. “Preliminary Evaluation of the Step-by-Step Parenting Program for Expectant Parents With Intellectual Disabilities.” Journal of Applied Research in Intellectual Disabilities 38: e70034. https://doi.org/10.1111/jar.70034. The funder's name should be changed from “College and Community Social Innovation Fund Grant, National Science and Engineering Research Council of Canada awarded to Amanda Cappon and Kay Corbier” to “College and Community Social Innovation Fund Grant, Social Sciences and Humanities Research Council of Canada awarded to Amanda Cappon and Kay Corbier.” We apologise for this error.

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)0.011
metaresearch head score (Gemma)0.159
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: Other · Consensus signal: none
Teacher disagreement score0.082
Threshold uncertainty score0.274

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.159
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.003
Science and technology studies0.0060.002
Scholarly communication0.0040.002
Open science0.0050.003
Research integrity0.0080.015
Insufficient payload (model declined to judge)0.0820.041

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 head0.131
GPT teacher head0.441
Teacher spread0.310 · 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
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

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