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Record W3013215633 · doi:10.1177/1077559520910806

Child Maltreatment Investigations in Canada: Main and Moderating Effects of Primary Caregiver Cognitive Impairment

2020· article· en· W3013215633 on OpenAlexafffundabout
David McConnell, Marjorie Aunos, Laura Pacheco, Maurice A. Feldman

Bibliographic record

VenueChild Maltreatment · 2020
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsBrock UniversityCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversity of Alberta
FundersPolicyWise for Children and Families
KeywordsNeglectChild protectionPrimary caregiverCognitive impairmentCognitionChild abusePsychologyMedicinePoison controlInjury preventionHuman factors and ergonomicsGovernment (linguistics)Clinical psychologyPsychiatryDevelopmental psychologyMedical emergencyNursing

Abstract

fetched live from OpenAlex

Children of parents with cognitive impairment are overrepresented in the child protection system (CPS). The aim of this study was to examine the relationship between primary caregiver cognitive impairment (CCI) and CPS investigation outcomes using the Canadian Incidence Study of Reported Child Abuse and Neglect (CIS-2008). The CIS-2008 includes process and outcomes data on a national sample of CPS investigations involving a total of 15,980 children under the age of 16 years. This secondary data analysis found that primary CCI was noted in 6.3% of all investigations. When primary CCI was noted, investigations were 3-4 times more likely to result in child removal and court action. The results further suggest that some case characteristics, including case history variables, are weighted differently in decision making depending on whether or not primary CCI is indicated. A systematic, national strategy is needed to build capacity in government and community sectors for the provision of research-informed child and youth protection and family support services for these parents and their children.

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)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.271

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.007
Science and technology studies0.0040.002
Scholarly communication0.0030.001
Open science0.0030.003
Research integrity0.0010.002
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 head0.014
GPT teacher head0.228
Teacher spread0.215 · 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 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

Citations46
Published2020
Admission routes3
Has abstractyes

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