Teaching social work paradigms through case-based learning: a framework for theory-practice integration
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
This paper presents a case-based pedagogical framework for teaching social work paradigms and theories. Drawing on Guba and Lincoln’s typology including positivist, post-positivist, constructivist, and critical, the model illustrates how theories like CBT, Ecological Systems Theory, Narrative Theory, and Feminist Theory can be linked to practice through a culturally situated case study. Using the example of Sara, an eight-year-old Iranian immigrant in Canada experiencing parental divorce, the paper demonstrates how theory-practice integration can support culturally responsive and anti-oppressive practice. Designed for classroom use, this framework promotes critical thinking, ethical reflection, and paradigm awareness, and offers guidance for integrating theory into undergraduate and graduate social work curricula.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.016 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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