FOREIGN AND DOMESTIC EXPERIENCE OF PREPARING FUTURE SOCIAL WORKERS TO WORK WITH PERSONS WHO HAVE SPECIAL EDUCATIONAL NEEDS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In the article analyzes the systems for preparing social workers to work with people who have special educational needs in universities in the US and Canada. There are revealed features of education in schools of social work at Columbia’s, Michigan’s and other universities. There are indicated experience of Great Britain, France and Germany in preparing future social workers for working with people with special educational needs. In the article considered programs that offer foreign universities in the preparation of future social workers who wish to work with persons with special educational needs. There are described curricula of the higher educational institutions of these countries, which prepare future qualified social workers to work with persons with special educational needs. There are analyzed reasons for the insufficient preparing of future specialists in the social sphere to work with persons with special educational needs. The general features of the process of teaching students of the specialty "social work" in foreign and domestic universities are indicated, among them the continuity of education, multidisciplinarity of training and the diversity of forms of education. The article shows the distinctive features of the professional training of future social workers for working with people with special educational needs, among which emphasis on practical training in foreign universities, the possibility of choosing a narrow specialization in foreign educational institutions and more stringent conditions for admission.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it