Research Practicum: An Experiential Model for Social Work Research
Bibliographic record
Abstract
Research training is a key area of social work education and integral to the success of future practitioners. Innovative pedagogical models for teaching research have been proposed, including those based on experiential approaches. This exploratory study evaluated a research practicum (RP) model for social work students. The intended outcome of the study was to develop, implement, and evaluate a comprehensive model for RP that encompasses experiential, cognitive, relational, and affective dimensions of learning. In total, 16 students and 14 instructors completed an online survey and open-ended questions about their experiences. Mentorship was identified as a key component facilitating student learning during the RP across cognitive, affective, behavioral, and relational dimensions. Mentoring provided students in this study with modeling, guidance, and scaffolding; offering a secure foundation for developing their research skills; and envisioning themselves as researchers. The findings suggest that a RP can provide students the setting in which to develop a broad range of skills and competencies in social work research.
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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 | 0.026 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".