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Record W4416039684 · doi:10.18357/ijcyfs162-3202522513

HONORING THE VOICES OF YOUTH IN OUT-OF-HOME CARE: INSIGHTS INTO RESTRICTIONS DURING THE COVID-19 PANDEMIC, AND FUTURE PERSPECTIVES

2025· article· en· W4416039684 on OpenAlexvenueno aff
Claudia Equit, Elisabeth Thomas

Bibliographic record

VenueInternational Journal of Child Youth and Family Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsnot available
Fundersnot available
KeywordsQualitative researchRelevance (law)Youth participationCoping (psychology)Participatory action researchYouth studiesPositive Youth Development

Abstract

fetched live from OpenAlex

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.329
Teacher spread0.299 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2025
Admission routes1
Has abstractyes

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