Writing and Research Across the Globe: An Innovative North-North-South-South Collaboration
Bibliographic record
Abstract
This article is based on various versions of a panel presented at multiple writing centre and writing studies conferences as well as conversations across partners. Our perspectives come from discussions between our four universities before, during, and after an initial global North/global South writing support partnership meeting in the summer of 2018. During that summer, four universities (two in southern Africa and two in North America) partnered to begin a collaborative project of capacity building in the areas of writing centres and writing support across all levels of these universities, offering writing support to undergraduate and graduate students as well as early-career researchers/faculty. In this article, we share some of our ongoing concerns and considerations for ensuring this partnership moves forward in a collaborative, egalitarian, decolonial way that avoids both Western colonial and neo-colonial approaches to capacity building and program development. Reflections in this article can perhaps inform others working in the field of writing centre scholarship wanting to build similar global collaborations.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, 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".