Sustainability at Universities – Opportunities, Challenges and Trends
Bibliographic record
Abstract
Contents: Anne Sibbel: Implications of Sustainability for Training Nutritionists for the 21st Century - Suppachart Tantisureeporn/Leisa J. Armstrong: Introducing a New Technology to Enhance Community Sustainability - An Investigation of the Possibilities of Sun Spots - Joyce Hendricks/Vicki Cope/Maureen Harris: Pragmatic Truths - When Ritual Meets the Reality of Community Engagement - Niranjali Jayasuriya: Teaching Sustainable Stormwater Management Using Project Based Learning - John Renner/Jim Cross: Community Engagement for Sustainability: An Invitation and a Challenge to all Universities - Joshua M. Pearce/Eleanor E. ter Horst: Service Learning for Sustainable Development in Foreign Languages - Will Turner: Developing and Sustaining Perpetual School University Partnerships - Sharifah Norhaidah Syed Idros/Abdul Rashid Mohamed: Greening the Teacher Education Program at Universiti Sains Malaysia - A Report on Baseline Studies - Pamela Robinson: Teaching Urban Sustainability - New Approaches for Emerging Needs - Alessandra Pavesi/Carmen Roselaine de Oliveira Farias/Haydee Torres de Oliveira: Greening Higher Education as a Procedure of Institutional Learning - Danielle P. Smyth/Arthur L. Fredeen/Annie L. Booth/David J. Connell: Waste Management and Sustainability at 'Canada's Green University'TM - Michael A. Reiter/Patrick C. Coggins/Mark E. Howse: Designing an Integrated Environmental Science Curriculum Using an IRMA Chart - Maria Novo/M. Angeles Murga: Environmental Education of Key People for Sustainable Development: a Case-Study - Rodrigo Lozano/Ken Peattie: Developing a Tool to Audit Curricula Contributions to Sustainable Development - Heather Burns: Skilled in Sustainability - Teaching Sustainability in Skills-Based Courses - Luis Velazquez/Nora Munguia/Andrea Zavala/Javier Esquer: Sustainability Leadership by Implementing the ISO 14001 Framework on a Latin-American Campus - Alfred Posch: International Cooperation in Higher Education by Means of a Joint Master's Programme in Sustainable Development - Deborah Schneiderman/Kara Freihoefer: Integrating Sustainability into Design Curriculum - Diane Pruneau/Abdellatif Khattabi/Joanne Langis/Charline Vautour: Educating and Communicating about Climate Change - Challenges and Possibilities - Melf-Hinrich Ehlers/Vanesa Castan Broto/Maya K. Gislason: Interdisciplinary Research Approaches to Sustainability - the Young Scientists' Perspective - Dianne Chambers: Assessing & Planning for Environmental Sustainability - A Framework for Institutions of Higher Education - Juliet Willetts/Naomi Carrard/Jade Herriman: Transdisciplinarity: Realising its Potential to Support Effective Postgraduate Sustainability Teaching and Learning - Walter Leal Filho: Sustainability at Universities - Opportunities, Challenges and Trends.
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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 | 0.009 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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".