Bibliographic record
Abstract
In 1991, development economist and American public intellectual Albert O. Hirschman wrote the Rhetoric of Reaction [1]. In this book, which was prescient of more contemporary popular books such as Naomi Klein’s The Shock Doctrine [2] and James C. Scott’s Seeing Like a State [3], Hirschman proposed a way to understand the kinds of arguments made by conservatives about proposals for change. His compelling trilogy of modes of arguments included arguments of perversity, futility, and jeopardy. I argue here that this schema can additionally be used as a way to understand the limits that are seen to exist to approaching sustainable development. I will demonstrate the pervasiveness of arguments that our best attempts to move toward sustainability in our cities today may present threats that are just as grave as those of not acting. This exercise serves two purposes. One is to urge those who would call themselves sustainability scholars to think critically and carefully about the lines of thought and action that may separate different sustainability motivations from the far reaches of interdisciplinary work in this field. The other is to suggest that, because of the persistence of certain kinds of arguments about the impossibility of sustainability, suggestive of deep and enduring instincts of doubt through human history, we should be skeptical of the legitimacy of these claims about the limitations of achieving sustainable development.
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 | 0.013 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.009 | 0.059 |
| Scholarly communication | 0.013 | 0.022 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.009 | 0.013 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".