2013 3M Student Fellows Feature Article - What is it “To Lead?”: A Nuanced Exploration of Leadership by 3M National Student Fellows
Bibliographic record
Abstract
In Canadian higher education, students from across the world interact within tight-knit communities, sharing ideas and developing a wealth of soft and disciplinary skills. With many universities playing host to dozens if not hundreds of student groups, the word “leadership” is uttered by students and faculty in hallways, gymnasiums, outdoors areas and of course, student group meeting rooms. On June 20, 2013, five members of the 2013 3M National Student Fellowship cohort explored the term “leadership,” sharing their personal experiences and observations with Canadian faculty members as part of a Society for Teaching and Learning in Higher Education (STLHE) workshop. This paper explores the conversations and ideas that emerged at the workshop in light of the group’s pre-STLHE online discussions and the current emphasis on leadership in Canadian higher education.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.034 | 0.012 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".