Urban Cultural Movements and Anti-Creative Struggles
Bibliographic record
Abstract
Within the last decade or so, there has been a global resurgence of artistled struggles around neoliberal urban space (Serafini et al, 2018). While organized anti-creative city movements have tended to be more prominent in Europe (NiON, 2010; Kirchberg and Kagan, 2013; Novy and Colomb, 2013; d’Ovidio and Rodríguez Morató, 2017; Romeiro, 2017; Sanchez Belando, 2017, among others), resistance also exists in countries like the US (Grodach, 2017), Canada (McLean, 2014b; King, 2016), Australia (Shaw, 2014) and in cities of the Global South (Luger, 2019; De Beukelaer, 2021; Martin-Iverson, 2021). For example, 2011–2012 saw the growth of a range of cultural occupations across Italy, including the creation of an imaginary ‘People's Center for Art’ in a 31-storey skyscraper in Milan by a movement known as MACAO (d’Ovidio and Cossu, 2017). Their focus on guerrilla branding tactics and self-organized cultural production has resulted in a broader cultural experiment in creative democracy in the city (Valli, 2015). Luger's (2019: 330) research on Singapore also reveals how the current ‘arts generation’ is ‘striking back, against the state, in the form of critical expression’ despite facing creative incorporation and ‘authoritarian boundaries’. In 2016, the Infringement movement staged their own alternative gathering in Montreal in protest against the World Fringe Congress's increasingly corporate approach to fringe (Montreal Infringement Festival, 2016) (see Figure 4.1). Meanwhile, in Berlin in 2012, Haben und Brauchen (‘to have and to need’), a movement of alternative cultural workers, challenged conventional arts policy in the city by producing a powerful manifesto (Haben und Brauchen, 2012). These varied examples feed into the notion of opposition towards the dominant neoliberal creative city paradigm and represent what I, and others, refer to as ‘urban cultural movements’ (Novy and Colomb, 2013; Valli, 2015; Hollands, 2019). I define these as movements that have creativity or culture at the core of their principles, activity and struggle against the neoliberal city . This chapter builds upon critiques of Florida's creative city paradigm and the discussion of the potential of alternative creative spaces developed in Chapter 3. It is concerned to explore how activist artists and groups can work collectively and liaise with other urban social movements to envisage an alternative urban future.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.043 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 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".