Exploring representation (EDI) in Students as Partners (SaP) initiatives: a case study of equity, diversity and inclusion in the Students as Partners Program (SaPP) at Carleton University
Bibliographic record
Abstract
Students as Partners (SaP) initiatives have been gaining traction in the past decade, and many institutions are praising the SaP model as a method to enhance collaborative, reciprocal, and equitable learning. In this paper, we offer insights on student and faculty experiences of the Students as Partners Program (SaPP) at Carleton University in Ottawa, Canada. Our research is motivated by the question: to what extent are Students as Partners Programs (SaPP) compatible with goals of equity, diversity and inclusion? We take a qualitative, case study approach to explore student (n = 51), and faculty (n = 67), experiences of the Students as Partners Program in 2020. Our findings reveal strong participation by students with a disability, and female, and BIPOC students, and an overrepresentation of white, able-bodied participants at the faculty level. To improve EDI in SaP initiatives, we share recommendations from student and faculty participation.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.013 |
| 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".