Transformational processes in Ukrainian society as the key factor for professionalization and academisation of social work
Bibliographic record
Abstract
In the last years, social work in Ukraine can be characterized as the time of dynamic changes due to transformational processes in society. Gradually, the practice of social work has begun to outpace science and requires updating the system of academic social work. Ukrainian cases in social sphere can become a common subject for international cooperation in research and developing a study process in Ukraine and also in foreign countries. \nTransformational processes in Ukraine can be considered in two concepts: changing attitudes to problems and responsibilities for their solution in the society (1), reformation changes in the socio-political sphere (2). The Revolution of Dignity (2013-2014) contributed to the rethinking of values, the development of self-organization and social responsibility, and the development of the volunteer activity. The ongoing war in Ukraine since 2014 has led to the emergence of specific social services for new categories of people in need (1 363 891 internally displaced people, 362 095 combatants and their families). At the same time, Government initiated a series of reforms of the decentralization, the institutional care system and the upbringing of children, inclusion in school education, etc. \nThe flexibility of NGOs allows social workers to respond quickly to challenges and act in emergency situations. It also contributes them to increase the confidence of non-governmental and religious organizations in solving social problems. The increasing need for professional staff ready for the new environment, leads academic programs to be developed in accordance with the challenges of the social sphere. Active cooperation and involvement of social work practitioners in the educational process, students research works, projects and internship in NGOs and GOs shows a good results and gives a new cases for academic social work. \nThe international dialogue and cooperation of scientists and practitioners from Canada and Ukraine can allow a deep scientific analysis and adaptation of case study to educational process. Exchange programs for university professors and students can be a great chance for a better understanding a context and adaptation of foreign experience to Ukrainian realities.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".