Financial Education for Child and Youth Care Practitioners
Bibliographic record
Abstract
This paper aims to identify the needs of financial education of Child and Youth Care practitioners (CYCPs). There is not much knowledge about the deficits of financial education of young people in care (YPC) and young care leavers (YCL) and we want to bring more light into this difficult topic. We use focus group interviews in five different countries (Bulgaria, Austria, Germany, Poland, and France) to find the needs of the CYCPs with a special focus on the needs of YCLs. Our focus groups showed that CYCPs do not have enough basic and further education to handle the situation with YPC and YCLs successfully. We found that the needs of the YPC and YCLs concerning financial education are consistent with the needed knowledge, skills and competences of the CYCPs. Some needs of CYCPs and young people in care are to understand the meaning of money, to handle pocket money, to understand the logic of credit and financial contracts and to know how an online bank account works.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".