Austerity Governance, Political Resistance and Urban Transformation
Bibliographic record
Abstract
Our book details and documents the impact of austerity governance on a selection of cities. Yet for some commentators, cities and urban spaces remain the ‘new theatres of struggle’ in our contemporary condition (Hamel, 2014). This chapter critically assesses the forms of social and political resistance that emerged across the eight cities in our study. Building on themes introduced in Chapters 1 and 2, it argues that cities serve as crucibles for a diverse set of political contestations, responses and initiatives, but they exhibit differential capacities to shape their environments. Indeed, it demonstrates the complex ‘mix’ of political traditions, institutions, socio-economic structures, practices and ideological systems that come together to constitute the city as a political engine. In so doing, we draw particular attention to the shifting locus of resistance to austerity across communities and neighbourhoods. Our analysis and evaluation suggest that the future projection of cities as ‘spaces of hope’ rests on the twin challenges of ‘scaling up’ neighbourhood protests into broad and anti-systemic political projects, while reinvesting in the construction of progressive relations with the local state that open local spaces of manoeuvre to challenge national regimes of austerity. Against this background, we turn first to our initial presentation and discussion of the eight cities, focusing on Melbourne, Barcelona and Nantes, whose distinctive characteristics provide the parameters for the analysis of all the cases. We then examine and describe the cases of Athens, Baltimore, Dublin, Leicester and Montréal, analysed here as in Chapter 1 through the lens of austerity realism.
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 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 | 0.001 |
| 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".