Student-led action for sustainability in higher education: a literature review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose Over the past few decades, universities have been recognized as ideal leaders for the development of policies and innovative solutions required to support the transition to sustainable societies. As a major stakeholder group, students play a significant role in moving this agenda forward; however, their actions remain understudied in the sustainability in higher education (SHE) literature. Design/methodology/approach In response, this systematic literature review was conducted to determine what research has been done on student-led action for SHE. Findings Findings demonstrate that while students are an understudied stakeholder group, there is a growing focus in the SHE literature on their contributions. The results suggest that students are working to increase the uptake of SHE through multi-stakeholder collaborations, collective action and interdisciplinarity. This review identifies a lack of engagement with intersectionality (interrelated environmental and social issues) and highlights the need to redirect future SHE research, calling for increased comparative research studies and research syntheses to provide greater depth to our understanding of student-led initiatives. Research limitations/implications This literature review is limited by the smaller sample size of articles; however, conclusions can nonetheless be drawn from these results to guide future scholarship. Implications exist for theoretical contributions to social movement theories and theories of organizational change for SHE. Originality/value This research provides insight into student-led action for SHE and how their efforts might better be supported to encourage the increased integration of SHE.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it