Accessibility of child protection investigations during pandemic: A qualitative analysis of court proceedings
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".