The Role of Peer Mentors in Promoting Knowledge and Skills Development in Graduate Education
Bibliographic record
Abstract
The objective of this study was to explore the role of peer mentorship in facilitating graduate student resiliency, knowledge acquisition, and development of academic competencies. We conducted a qualitative case study, using in-person interview data from sixty-two students recruited from four professional faculties (Education, Medicine, Nursing, and Social Work) at a large Canadian University. We identified four broad themes derived from a thematic and constant comparative analysis of interview data: (1) knowledge sharing, (2) skills development, (3) academic milestones, and (4) program supports. Graduate students reported that peer mentorship promoted the development of learning environments that emphasized community, collaboration, and shared purpose. Students believed that peer mentors facilitated their access to essential procedural and disciplinary knowledge and helped them to develop academic and research skills and achieve key academic milestones. While the majority of the students interviewed had not participated in any formal peer-mentoring program, they recommended that any future program incorporate mentorship training and include access to collaborative spaces and targeted opportunities for students to develop these relationships.
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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 | 0.024 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".