Minding Place: Towards a (Rational) Political Ecology of the Sustainable University
Bibliographic record
Abstract
This paper is a praxis-based, theoretical analysis of the political ecology of place. The paper grew out of a multiyear activist project to redirect campus planning at our university onto a more sustainable footing. In our engagement with the unique institutional character of the university, we were required to address, on the one hand, its resistant power structures and, on the other hand, its real potential for fostering progressive social change. On the basis of this practical work, we develop a theoretical perspective on place-based change and articulate a situated conception of what we call ‘social rationality’. Turning from analysis to prescription, we then suggest a strategy of ‘comprehensive local innovation’ to allow universities to open up their potential to become working precedents that can address global issues through local action. Although the present paper does not articulate detailed proposals for specific institutional reforms, we consider such proposals in a related book.
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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 | 0.000 | 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 | 0.001 | 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) | 0.000 | 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".