PROFESSIONAL TRAINING OF SOCIAL WORKERS FOR SUPERVISION ACTIVITIES IN CANADA
Bibliographic record
Abstract
The article identifies supervision in the process of training social workers in Canada. The contemporary aspects of supervisory activity in the process of training social workers for supervisory activity in Canada are described. Supervision is the primary means by which an institution-appointed supervisor facilitates the work of staff, individually and collectively, and ensures work standards. The concept of supervision is defined through models of analysis and competent resolution of situations arising in interaction with clients. The term «supervision» means the relationship between one person, the supervisor, and another supervisor. The purpose of the article is to characterize the content of the training of social workers in supervisory activity in Canada. The methodology is based on current social work provisions and reflects the interrelationship of methodological approaches to the study of «supervision» and «supervisory activity» in the training of social workers for supervisory activity in Canada. Scientific novelty. Supervision in the process of training social workers in Canada has been identified. The contemporary aspects of supervisory activity in the process of training social workers for supervisory activity in Canada are described. Conclusions. 1. The essence and content of supervision are determined. 2. Supervision is an important and necessary component in the training of social workers for supervisory activity in Canada. 3. The purpose of supervision is to assist the supervisor more effectively in the tasks defined in his / her duties. 4. There are no educational standards in the training of social workers for supervision in Canada.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".