Bibliographic record
Abstract
Ukraine serves as a post-socialist country example where social work as a profession and academic discipline was introduced in the early 1990s.This process had been actively supported by a range of international projects engaging partner universities and NGOs from the United Kingdom (UK), Germany, Portugal, Belgium, USA, Canada, etc. Initially the social work concept and approaches were purely international, transferred from other countries.Later these theories and practice skills were indigenized while considering local contexts and practice (mainly the post-socialist paternalistic nature of services), however, the essence of social work, especially in its academic domain, kept its international roots. Internationalization in UkraineThe diversity of international projects implemented in Ukraine signifi cantly infl uenced the understanding of social work practice in various universities across the country.The concept of 'internationalization' meant not only obtaining international experience and sharing it with the rest of the faculty, but also having diff erent, sometimes radically opposite views and approaches within the local academic community to social work theorizing, education, research and practice in the local context.This diversity ranges from the (post)Soviet understanding of social work through the lenses of a social welfare paradigm and pathology model to the vision that social work core models should be based on American, Canadian, German, UK experience; as well as human rights and critical approaches, and the universal social work values.From 1990-2000s, the Ukrainian schools of social work were responsible for building their academic capacity and the content of their training by themselves while bringing various experiences of international academic cooperation, and, in parallel, enriching the training content with valuable indigenous knowledge.The School of Social Work at the National University of 'Kyiv-Mohyla Academy' staff was trained mainly by UK academic staff and thus it is more oriented towards UK social work approaches.The challenging experience of creating social work education in Ukraine had been described by UK, Portuguese and Ukrainian authors (Ramon, 2000) who stress the complex balance between what was off ered by the Western partners and what was taken up by the Eastern partners.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.018 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".