Navigating power dynamics in student-staff partnerships
Bibliographic record
Abstract
The idea of co-creating curricula with students has gained momentum in recent years to challenge conventional power relationships within universities through amplification of student voice and advocacy for meaningful student participation in teaching, research, and service. This is a necessary response to facilitate higher education transformation through curriculum reform grounded in students’ lived experiences. This paper explores a student-led process to design a new leadership academy at a large research-intensive university in the Western Cape, South Africa, a context characterised by pronounced disparities in power. The paper brings the literature on student-staff partnerships and equity-oriented learning design into conversation. Based on feedback from the student facilitators involved in designing the creation of this student leadership academy framed by principles developed by the equityXdesign cooperative, we will reflect on how these student-led design spaces can both catalyse transformation and render students vulnerable. The study’s findings have implications for curriculum design and development in higher education, particularly in contexts characterised by significant power disparities.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".