HONORING THE VOICES OF YOUTH IN OUT-OF-HOME CARE: INSIGHTS INTO RESTRICTIONS DURING THE COVID-19 PANDEMIC, AND FUTURE PERSPECTIVES
Bibliographic record
Abstract
Recent studies focusing on children and youth in care have emphasized the increased challenges that emerged with the restrictions related to the COVID-19 pandemic. There is, however, not enough comprehensive research on how caregivers could have systematically improved the social participation of young people in care. Here we present initial results based on the qualitative part of a joint project, entitled “JuPa”, which focuses on the social participation of young people during and after the COVID-19 pandemic in Germany. Due to the relevance of young people’s voices in research and practice, the project includes participatory methods to involve youth in care systematically. In the qualitative part of JuPa, 40 interviews with youth in care were analyzed. Pandemic-related effects on youth in care, their coping strategies, and their concepts for the future are emphasized. The youth were optimistic about the future despite the impact the COVID-19 pandemic had had on their lives. The described challenges make clear the necessity of implementing youth-friendly children’s rights.
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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 | 0.011 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.013 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| 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".