Bibliographic record
Abstract
Between Realism and Revolt explores urban governance in the “age of austerity”, focusing on the period between the global financial crisis of 2008-9 and the beginning of the global Coronavirus pandemic at the end of 2019. It considers urban governance after the 2008 crisis, from the perspective of governability. How did cities navigate the crisis and the aftermath of austerity, with what political ordering and disordering dynamics at the forefront? To answer these questions it engages with two influential theoretical currents, Urban Regime Theory and Gramscian state theory, with a view to understanding how governance enabled austerity, deflected or intensified localised expressions of crisis, and generated more-or-less successful political alternatives. It develops a comparative analysis of case studies undertaken in the cities of Athens, Baltimore, Barcelona, Greater Dandenong (Melbourne), Leicester, Montreal and Nantes, and concludes by highlighting five characteristics that cut across the cities, unevenly and in different configurations: economic rationalism, weak hegemony, retreat to dominance, weak counter-hegemony and radically contagious politicisations.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.033 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".