CARE LEAVERS’ PERSPECTIVES ON THE FAMILY IN THE TRANSITION FROM OUT-OF-HOME CARE TO INDEPENDENT LIVING
Bibliographic record
Abstract
Findings from youth research have shown that, due to the development of the transitional phase of “emerging adulthood”, the family has become increasingly significant for young adults as a source of support and as a safety net. In contrast, care leavers are confronted with a relatively abrupt transition to independent living. However, international studies have shown that the family also plays a significant role during the status passage of leaving care — as an arena of concrete social relationships, as a normative model and ideal, as a biographical experience and memory, as a connection to family traditions and practices, and as an important contextual factor for resilience and identity formation. The first section of this paper describes the various links between care leavers and their families based on a literature review. In the second section, the biographical relevance of the family is highlighted based on the example of a qualitative interview study about the educational pathways of 20- to 27-year-old care leavers. The study shows the various influences of family links on the educational careers of young people during and after out-of-home care. From the findings, we derive some consequences for professional work with families in out-of-home care and for professional support and guidance during the status passage of leaving care.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".