INTRODUCTION TO SPECIAL ISSUE: AN EMPIRICAL EXPLORATION OF CHILD AND YOUTH CARE PEDAGOGY AND CURRICULUM
Bibliographic record
Abstract
FICE International is an international organization focused on children and youth who are in need of out-of-home care. One of its major activities is organizing a world congress every three years. In these congresses, professionals from all over the world who are involved with out-of-home care can meet, exchange knowledge, and learn from each other. The most recent FICE congress, held in October 2019 in Tel Aviv, Israel, was dedicated to the theme “Better Future Opportunities for Children and Young People in Multicultural Societies”. The editor of this journal has been kind enough to offer this platform for the publication of selected material presented at the congress. FICE-International, and we as guest editors, are most thankful to Prof. Sibylle Artz, editor of the IJCYFS, for this opportunity. The richness and variety of the selected articles, coming from 10 countries, could not be accommodated in a single issue. The editors of the journal have therefore decided to divide the articles into two special issues, to be published one after the other. The first of these issues includes articles in three thematic categories: (a) Evidence-based research on effects of out-of-home care, (b) Historical and sociological perspectives on institutionalized child and youth care, and (c) Normalization — a challenge for foster care programs. Four further categories will provide the framework for the forthcoming second special issue: (d) Emotional and pedagogical considerations, (e) Refugee children and youth, (f) Residential staff, and (g) Care leavers.
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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 | 0.005 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.026 | 0.003 |
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".