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Record W150566572 · doi:10.31235/osf.io/8hdzj

A Case Record Review of Termination of Parental Rights Cases Involving Parents with a Disability

2022· article· en· W150566572 on OpenAlexaboutno aff
Elizabeth Lightfoot, Traci LaLiberte, Minhae Cho

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Intellectual disabilityMatching (statistics)PsychologyWelfareMental healthRepetition (rhetorical device)Learning disabilityChild protectionService (business)PsychiatryDevelopmental psychologyMedicineNursingPolitical scienceLaw

Abstract

fetched live from OpenAlex

We completed an in-depth case record review of 31 child protection cases where a young parent with a disability had their parental rights terminated after involvement in the child protection system. We identified parents through matching education records with child protection records. The most common disabilities were mental health, behavioral, and intellectual and developmental disabilities. We found that parental disability was not correctly identified in about half of child welfare cases, with about one-quarter not being recorded as having a disability at all. Only two of the parents had service modifications noted that directly related to their disability, and only about one tenth received appropriate modifications. The most common modifications were repetition, reminders, and extra time for parent understanding. An expert was only consulted in about one-fifth of the cases, and the expert was typically a psychologist. The parents, all who had their rights terminated, had high rates of completion of services within their case plan (87%), with about one-third completing all services.

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)0.007
metaresearch head score (Gemma)0.044
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 score0.016
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.044
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0160.010
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.038
GPT teacher head0.322
Teacher spread0.284 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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