Bibliographic record
Abstract
An exploration of the post-politics of global capitalism in theory and practice GBS_insertPreviewButtonPopup(['ISBN:9780748682973','ISBN:9780748682980','ISBN:9780748683000']); Our age is celebrated as the triumph of liberal democracy. Old ideological battles have been decisively resolved in favour of freedom and the market. We are told that we have moved ‘beyond left and right’; that we are ‘all in this together’. Any remaining differences are to be addressed through expert knowledge, consensual deliberation and participatory governance. Yet the ‘end of history’ has also been marked by widespread disillusion with mainstream politics and a rise in nationalist and religious fundamentalisms. And now an explosion of popular protests is challenging technocratic regulation and the power of markets in the name of democracy itself. This collection makes sense of this situation by critically engaging with the influential theory of ‘the post-political’ developed by Chantal Mouffe, Jacques Rancière, Slavoj Žižek and others. Through a multi-dimensional and fiercely contested assessment of contemporary depoliticisation, The Post-Political and Its Discontents urges us to confront the closure of our political horizons and re-imagine the possibility of emancipatory change. Key Features Interrogates the theoretical literature on the post-political – its value and limits, its internal tensions and the possibility of creative syntheses with other approaches Critically engages with multiple dimensions of contemporary depoliticisation, including multiculturalism, philanthropy, ecology, participatory development, public–private partnerships and the regulation of biotechnology Assesses the emancipatory potential of anti-austerity protests, the Occupy movement and other political struggles in the context of continuing processes of post-politicisation Find out more 'Post-Politicisation and the Return of the Political' – read the blog post by Erik Swyngedouw and Japhy Wilson on the Edinburgh University Press blog Read and download the introduction for free (pdf) About the Contributors Ingolfur Blühdorn , Reader in Politics/Political Sociology, University of Bath Jodi Dean , Donald R. Harter '39 Professor of Humanities and Social Sciences, Hobart and William Smith Colleges Bülent Diken , Reader in Sociology, Lancaster University Hans-Martin Jaeger , Associate Professor in the Department of Political Science, Carleton University in Ottawa Maria Kaika , Professor of Human Geography, University of Manchester, and Editor, International Journal of Urban and Regional Research Sangeeta Kamat , Associate Professor in the College of Education, University of Massachusetts, Amherst Lazaros Karaliotas , PhD candidate in Human Geography, University of Manchester Wendy Larner , Professor of Human Geography and Sociology, University of Bristol Alex Loftus , Senior Lecturer in Geography, King's College London Andy Merrifield , writer, social theorist and urban geographer Stijn Oosterlynck , Assistant Professor in Urban Sociology, University of Antwerp, Belgium Mike Raco , Professor of Urban Governance and Development in the Bartlett School of Planning, University College London Larry Reynolds , Einstein Postdoctoral Fellow, Freie Universitat Berlin Erik Swyngedouw , Professor of Geography, Manchester University Bronislaw Szerszynski , Senior Lecturer in Sociology, Lancaster University Nicolas Van Puymbroeck , a PhD candidate in Sociology, University of Antwerp Japhy Wilson , Lecturer in International Political Economy, University of Manchester "
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.072 |
| Scholarly communication | 0.016 | 0.011 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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".