Undergraduate Research and Student-Staff Partnerships: Supporting the Development of Student Scholars at a Canadian Teaching and Learning Institute
Bibliographic record
Abstract
Undergraduate research and inquiry and student-staff partnerships in teaching and learning have much in common, although their connections are not often discussed explicitly.Partnership initiatives-particularly those that engage students in collaborating with faculty/staff on disciplinary research or the scholarship of teaching and learning-share many features with undergraduate research efforts, including the potential to help students develop as active and engaged producers and scholars.Building on these connections, this article describes a unique 'student partners program' housed within the teaching and learning institute at McMaster University (Canada) considering its role in the development of outcomes desired by scholars and practitioners of undergraduate research and student-staff partnership.This assessment can assist in further consideration of the place of partnership within undergraduate research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.033 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.040 | 0.013 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.007 | 0.028 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".