Negotiations of engaged scholarship and equity through a global network of refugee scholars
Bibliographic record
Abstract
Research partnerships are the foundation of successful engaged scholarship, which typically unites partners across disciplines, institutions, sectors, and countries. While rewarding and generative, these partnerships can also be challenging due to differences in expectations, power, and culture, and difficulties in trust and communication. This article reports on interviews with members of an international refugee research network about participating in global partnerships. Responses are interpreted in light of community university partnerships and South-North partnerships and suggest that both face many similar challenges arising out of structures and norms that privilege Northern, theory-based scholarship, institutions, and outcomes. Vigilance and awareness regarding context can help to confront these challenges. Moreover, global partnerships can benefit from strategies developed in the area of community university partnerships to facilitate trust, communication, and shared ownership of international research projects.
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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 | 0.031 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.021 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.001 | 0.036 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".