Radical Transformation of Universities to Prepare the Next Generation of Climate Champions
Bibliographic record
Abstract
The threat and reality of climate change must be acted upon individually and collectively. Universities have a decisive role to play in this regard – by creating the capacity in all its academic activities to lead in taking on the challenge and by graduating students with the capacity to solve the problems that the climate change situation poses. To take on these roles, universities must accept a “radical transformation”. Radical transformation is a process that requires two integrated activities: radical thinking and transformative action. We propose that it is radical to think of universities as microcosms of society; that is, universities face the same need as everyone else to find ways to mitigate and adapt to climate change. We also propose that it is transformative for universities to inspire and be agents of change for the world: by creatively developing strategies to mitigate and adapt to climate change, universities can become global leaders in demonstrating workable solutions capable of being broadly diffused and scaled up. We present a set of design aspirations that can help universities undergo a radical transformation and thereby make headway in addressing the climate crisis.
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".