Social Work with Young People in Care: Looking After Children in Theory and Practice, 2nd Edition. Nigel Patrick Thomas and Karen Winter
Bibliographic record
Abstract
The textbook covers a number of essential topics that will be of benefit to social work students as well as practitioners who work with children and young people in care. I found it a very enjoyable read. As someone who has worked in the practice areas covered in the book (and now living in Canada), it's interesting to compare policy and legislation, review how things are different, and see how things have developed in terms of practice in the countries of the UK. The content of the book, except for perhaps legislation and policy (for obvious reasons), is very appropriate for social workers and students in many countries. For example, ethics, rights, the UNCRC, and practice were all highlighted as fundamental to working with the cultural and societal variations in families and communities. These variations are explored in detail and, while specific to the UK context, still have resonance in other international jurisdictions. The UNCRC articles were also used to frame and underpin the understanding of practice issues such as the use of attachment theory, assessment, and the vital importance of relationships and resiliency in this work, again relevant to an international audience.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.017 | 0.008 |
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".