A Transformative Approach to Social Work Education
Bibliographic record
Abstract
The paper presents an overview of “The Journey Guides Program” - a mentorship and experiencial learning framework developed by the Faculty of Social Work, University of Calgary in Canada. This program was implemented in an Advanced Graduate Seminar, a preparatory course for graduate Social Work students prior to entering their field placements. This article begins by discussing critical pedagogy, the theoretical framework that undepinned the “The Journey Guides Program”, followed by a description of the eight-step process we adopted to implement this program. The authors conclude by discussing the benefits of the Journey Guides program, and plans for ongoing development and transferability of this model. Keywords: Journey guides, transformative learning; mentorship; social work
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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 | 0.011 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.041 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".