The Internationalization of Doctoral Social Work Education: Learning from a Partnership in Ethiopia
Bibliographic record
Abstract
What does it mean to internationalize doctoral education by working abroad? What does it mean to internationalize doctoral education in one’s home country? This article offers a perspective based on the Social Work Education in Ethiopia Partnership, which established Ethiopia’s first-ever master’s degree in social work in 2004. To ensure sustainability of the MSW program, a doctoral program in Social Work and Social Development was launched in 2006. This article describes the development and research base of the doctoral program. Beginning in the first semester, teams of doctoral students join with poor communities in action research.Overall, these efforts lead to an emerging model of university-based development. Through engaged action research, faculty and students use human capital resources and the educational process to function as “development actors.” Some ideas for internationalizing doctoral education are offered. Deans and directors in the United States and Canada are challenged to expand doctoral education within a developing country and to prepare doctoral students to include international perspectives in their teaching and 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 | 0.019 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.001 | 0.017 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".