Bibliographic record
Abstract
Preface Introduction / Rianne Mahon and Roger Keil Part 1: The Scalar Turn 1 A Thousand Leaves: Notes on the Geographies of Uneven Spatial Development / Neil Brenner 2 Is Scale a Chaotic Concept? Notes on Processes of Scale Production / Byron Miller 3 Why the Urban Question Still Matters: Reflections on Rescaling and the Promise of the Urban / Stefan Kipfer Part 2: Political Scales 4 Avoiding Traps, Rescaling States, Governing Europe / Bob Jessop 5 Scaling Government to Politics / Warren Magnusson 6 Producing Nature, Scaling Environment: Water, Networks, and Territories in Fascist Spain / Erik Swyngedouw 7 Getting the Scale Right? A Relational Scale Politics of Native Title in Australia / Richard Howitt Part 3: Re/Productive Scales 8 The Cult of Urban Creativity / Jamie Peck 9 State Spaces of After Neoliberalism: Co-Constituting the New Zealand Designer Fashion Industry / Wendy Larner, Nick Lewis, and Richard Le Heron 10 Public Health and the Political Economy of Scale: Implications for Understanding the Response to the 2003 Severe Acute Respiratory Syndrome (SARS) Outbreak in Toronto / S. Harris Ali and Roger Keil 11 Of Scalar Hierarchies and Welfare Redesign: Child Care in Four Canadian Cities / Rianne Mahon Part 4: The Scale of Movements 12 The Spatiality of Contentious Politics: More than a Politics of Scale / Helga Leitner and Eric Sheppard 13 Regional Resistances in an Exurban Region: Intersections of the Politics of Place and the Politics of Scale / Gerda R. Wekerle, L. Anders Sandberg, and Liette Gilbert 14 Revolutionary Cooks in the Hungry Ghetto: The Black Panther Party's Biopolitics of Scale from Below / Nik Heynen 15 The Empire, the Movement, and the Politics of Scale: Considering the World Social Forum / Janet Conway Conclusion / Rianne Mahon and Roger Keil References Contributors
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.046 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.012 | 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".