Learning "betwixt and between": Opportunities and challenges for student-driven partnership
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper analyses students’ experiences of a partnership learning community in which students take on an unusual amount of power over decision-making in the design and implementation of interdisciplinary education. Student-driven contexts are largely absent in literature on partnership in higher education, which has thus far been based on empirical study of institutional contexts in which faculty have more power than students. This reveals a gap in knowledge about arrangements in which students have more control over decision-making than faculty. Drawing from in-depth interviews with student course coordinators, and using the concepts of roles and liminality, we analyse how course coordinators perceive their challenging and often ambiguous roles in which they renegotiate their relationships to staff, students, and the university itself. We then identify some challenges and opportunities for partnership within this context.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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 it