Exploring care leavers' agency in achieving entry into the world of work: A cross‐national study in six countries
Bibliographic record
Abstract
Abstract This article draws attention to the relevance of young care leavers' exercise of agency as one possible key ingredient in overcoming barriers to engagement in work. Several previous studies show difficulties in entering adult life, both in relation to higher and further education as well as entrance into work life. The article analyses interviews with young adults from six countries, who have spent at least part of their childhood and youth in out‐of‐home care and the results indicate that the care leavers have the ability to make plans and set up goals for the future that they in many cases are able to achieve or at least are striving for over time. In many instances, they show a strong motivation, for example, to educate themselves pursuing their goals. To support this transition of young care leavers, it is important to listen to ‘successful’ cases such as the ones presented.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".