A Tale of Two (or More) Sustainabilities: A Q Methodology Study of University Professors’ Perspectives on Sustainable Universities
Bibliographic record
Abstract
If change for sustainability in higher education is to be effective, change efforts must be sensitive to the institutional culture in which they will be applied. Therefore, gaining insight into how institutional stakeholders engage with the concept of sustainable universities is an important first step in understanding how to frame and communicate change. This study employed Q methodology to explore how a group of professors conceptualize sustainable universities. We developed a Q sample of 46 statements comprising common conceptions of sustainable universities and had 26 professors from Dalhousie University rank-order them over a quasi-normal distribution. Our analysis uncovered four statistically significant viewpoints amongst the participants: ranging from technocentric optimists who stress the importance of imbuing students with skills and values to more liberal arts minded faculty suspicious of the potential of sustainability to instrumentalize the university. An examination of how these viewpoints interact on a subjective level revealed a rotating series of alignments and antagonisms in relation to themes traditionally associated with sustainable universities and broader themes associated with the identity of the university in contemporary society. Finally, we conclude by discussing the potential implications that the nature of these alignments and antagonisms may hold for developing a culturally sensitive vision of a sustainable university.
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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 | 0.084 | 0.068 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| 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 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".