The Bloomsbury Handbook of Sustainability in Higher Education
Bibliographic record
Abstract
<JATS1:p>This Handbook illustrates that universities per se and higher education in general are essential to catalyze and action the transformative change needed for sustainability and delivery of the Sustainable Development Goals. Part One shows how sustainability can be adopted as a driver of change within higher education institutions (HEIs), as they react and respond to influencing factors outside the academy. Part Two examines how a university working with and for sustainability can influence, effect and amplify change beyond the institution, working with and through others.</JATS1:p> <JATS1:p>International contributors explore regional, national and international perspectives, presenting a variety of critically assessed accounts case studies that reflect different local and national contexts, institutional archetypes and academic missions. Frameworks of sustainability-led transformation are illustrated at the level of the institution (executive/administrative), organization, culture, place-based (anchor) and student in various countries including Aruba, Belgium, Brazil, Canada, Hong Kong, Japan, Lebanon, Nepal, New Zealand, Nigeria, South Africa, Spain, Uganda, United Kingdom and the United States of America.</JATS1:p> <JATS1:p>The book concludes with a manifesto for change and a call to action. It identifies that the sustainability journey of a HEI is influenced by context and place, with mission, leadership and strategy playing a vital role and change agency by students a key ingredient. Recognizing the patience and resolve to effect change, communication, dialogue and inclusion were central to community building and partnership.</JATS1:p>
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 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.040 | 0.022 |
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".