Social Work Student Learning in the Support and Aid to Families Electronically (SAFE) Practicum Pilot: A Qualitative Thematic Analysis
Bibliographic record
Abstract
The Support and Aid to Families Electronically (SAFE) program is an innovative virtual social work practicum developed in the School of Social Work at King’s University College at Western in partnership with Thames Valley District School Board in Ontario. The current exploratory study examined the SAFE practicum as a learning opportunity for social work students. SAFE was guided by integrated knowledge translation (IKT), participatory action research (PAR) and the fostering of a community of learners. Data were gathered from social work students (n = 7), King’s professionals (n = 4) and referring school board professionals (n = 22). The analysis derived themes of a chaotic launch amid a pandemic. However, the emphasis on direct practice with program development and research opportunities ultimately resulted in a strong learning opportunity. The resulting community of learners, with knowledge users (IKT) as researchers and participants (PAR), created a responsive and flexible program, with each component integral to the success of this learning opportunity. The knowledge from this study will guide the future success of SAFE and other similar initiatives.
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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 | 0.025 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".