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Record W4311874274 · doi:10.1111/jar.13064

Accessibility of child protection investigations during pandemic: A qualitative analysis of court proceedings

2022· article· en· W4311874274 on OpenAlexafffundabout
Munazza Tahir, Virginie Cobigo

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council
KeywordsIntellectual disabilityPandemicContent analysisPsychologyQualitative researchChild protectionCoronavirus disease 2019 (COVID-19)Qualitative analysisLearning disabilityFamily courtPolitical scienceDevelopmental psychologyLawPsychiatryMedicineSociologySocial science

Abstract

fetched live from OpenAlex

BACKGROUND: Qualitative research using published court records to examine contextual factors that contribute to child protection decisions in cases involving parents with intellectual disabilities is limited, particularly during the COVID-19 pandemic. METHOD: The present study conducted qualitative content analysis on 10 published Ontario court cases to study child protection decision-making between 2019 and 2021. RESULTS: The findings corroborated previous literature with nine out of 10 cases resulting in loss of child custody. Four major themes emerged from content analysis: (1) Impact of COVID-19 pandemic on cases; (2) Systemic barriers to accessibility; (3) Attitudes and bias toward parents with intellectual disabilities; and (4) Ultimate reliance on intellectual disability status for final custody decision. CONCLUSIONS: Conducting content analysis on published court cases is useful in learning about accessibility barriers for parents with intellectual disabilities and may help in understanding the impact of the COVID-19 pandemic on the child protection system.

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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.206
GPT teacher head0.470
Teacher spread0.265 · 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

Citations8
Published2022
Admission routes3
Has abstractyes

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