Normative and Institutional Frameworks for the Functioning of Supervision in Social Work
Bibliographic record
Abstract
Supervision is understood as a professional, formative, administrative and managerial practice provided by an experimented professional to a professional in the same field, with the purpose of transfering knowledge and training specific competences, useful in his practice with the purpose of providing as qualitative as possible services to its own beneficiaries. The article reviews a series of normative frameworks based on which the process of supervision of social services in countries such as Singapore, New Zeeland, Australia, Canada, USA, Great Britain and Romania. By comparatively analyzing these frameworks, we noticed that generally, there are two models formulated – the first one which regards the supervisor as a professional with experiece in social work, and the other model sees supervision as a distinct profession with transdisciplinary nature, but with access limited by the need for an initial training and previous experience in the field of social work. We notice that, in general, the national frameworks identify three functions of supervision: administrative, formative and managerial, and place a special emphasis on the role of the supervisor as trainer in the field of professional ethics.
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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 | 0.033 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.006 | 0.071 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| 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".