Student Participation in University Life and Governance
Bibliographic record
Abstract
This paper uses several different perspectives to investigate how students participate in university life. In the first section we propose a few conceptual and taxonomic stipulations on the different ways of participating. A number of different modes of participation are analyzed and subsequently divided into three typologies: the first distinguishes among four generic types of participation; the second sets the modes of student participation at the university depending on the purpose; and the third typology uses a criterion referring to the ways such participation is carried out. In the second section, we place participation at the university within a broader framework of young people’s participation in general. We then present data on young people’s participation and the typology of the political activism they most often carry out and on the knowledge, use, and valuation of certain kinds of systems of student participation at the university. The third section presents two studies on what students think about participation. In the last section, we formulate a set of questions open for debate and reflection on this topic.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".