Holding space and engaging with difference: Navigating the personal theories we carry into our pedagogical partnership practices
Bibliographic record
Abstract
Partnerships between students and faculty are increasingly established within higher education. Everyone’s unique life story or background influences how they understand partnership praxis. Acknowledging individual understandings of student-faculty partnership matters because personal stories can influence how such partnerships form, function, and evolve. We, as students and faculty, share our individual theories of partnership to illuminate differing ways people can make sense of partnership as praxis. Using a reflective, autoethnographic research approach, we unpack two interdependent threads from our narratives: (a) holding space for how personal histories shape the experience of partnership and (b) engaging the messiness of partnership. To understand and nurture inclusive practices, we contend, means engaging the unique standpoints and social positions that both students and faculty bring into partnerships. Instead of attempting to collapse and converge different perspectives of partnership, we take pause to consider how these differences can enrich partnerships and be honoured throughout a partnership
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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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".