An international snapshot of peer leadership in higher education
Bibliographic record
Abstract
Purpose This paper describes an exploratory, international research collaboration that seeks to gain a deeper understanding of the development and experiences of peer leaders in higher education across different international contexts, namely the USA, Canada (CAN), Australasia (Australia and New Zealand) (ANZ), the United Kingdom (UK) and South Africa (SA). Design/methodology/approach Data are summarized and compared across each of the participating countries, providing a more global context and depth of perspective on peer leadership (PL) in higher education than is currently available in the literature. Findings The findings highlight some apparent differences between countries in relation to student engagement in peer leader roles and the ways in which PL is supported by higher education institutions, as well as some similarities across the different international contexts, particularly in the way peer leaders view the benefits of their involvement in PL. Originality/value These insights provide a valuable addition to the literature on PL and practical information to higher education institutions for supporting student leadership development and involvement.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".