THE IMPACT OF PARENTAL INCARCERATION ON CHILDREN IN RESIDENTIAL CHILD CARE: CHALLENGES AND INTERDISCIPLINARY SOLUTIONS
Bibliographic record
Abstract
Parental incarceration represents a significant challenge for children living in residential child care, exacerbating their psychosocial vulnerabilities and negatively affecting their development. This study, initiated by FICE Czech Republic, examines the prevalence and impact of parental incarceration on children and young adults in Czech residential child care facilities. The research combines data collected through a mixed-methods design with insights gained from the practical operation of a children’s home. The issue is approached not only from an academic perspective but also from the viewpoint of an everyday educator. The quantitative part of the study covered 67 Czech residential child care facilities with a population of over 2,000 children. These findings were contextualized using qualitative data, leveraging my close connection to the researched environment. Among the target group, I identified severe disruptions in social competencies, emotional deprivation, and challenges in trust-building, all linked to parental incarceration. My contribution highlights systemic shortcomings and insufficient interdisciplinary cooperation, among numerous additional challenges. Based on the research findings, I propose necessary modifications, particularly in fostering cross-sector collaboration, implementing targeted prevention strategies, and significantly strengthening support measures. These recommendations aim to support this highly vulnerable group of children and enable them to better cope with the burdens associated with parental incarceration.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".