Institutional Networks and International Service-Learning at the Graduate Level
Bibliographic record
Abstract
This chapter highlights a 3-year period of transition in the International Partnership for Service-learning and Leadership (IPSL) program that involved both organizational and curricular changes and ultimately the dissolution of a partnership. By examining both the strengths of the IPSL approach and a particular partnership that was no longer viable, the true tensions of this work can be elucidated. The chapter also explores how recent scholarship about service-learning partnerships has applied to the IPSL program and discusses implications for practitioners of international service-learning. It explores how the combination of effective partnerships and experiential learning provides a rich pedagogical palette for graduate-level learning and examines the specific challenges of a program in transition. An understanding of partnerships in service-learning is essential to the success of the IPSL program because of its widespread network. The chapter reviews what the service-learning literature reveals about partnership work and examines how it applies to the international service-learning master’s program at IPSL.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.054 | 0.010 |
| Scholarly communication | 0.018 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".