Crisis States: Governance, Resistance & Precarious Capitalism
Bibliographic record
Abstract
This is an age of crisis: economic, political, environmental, and social. Yet the nature of contemporary crisis is often misunderstood. Crisis, rather than being accidental or episodic â as is too often assumed â has been a regular feature of state practice in the neoliberal austerity regimes of contemporary capitalism. In this timely work Jeff Shantz gives special attention to the particular manufactured crises associated with austerity regimes and conditions of precarity within contemporary capitalism, and how Crisis States differ from other forms of state practice.Crisis is a powerful weapon of states and capital in the pursuit of accumulation, exploitation, and control. Engaging insights from anarchism and autonomous Marxism, Shantz lays bare the real nature and character of crisis as political and social pursuits of state and capital under precarious capitalism.Attention is also given to social resistance under crisis state conditions. Contemporary capitalism renders the oppressed and exploited precarious at the same time as opportunities are opened to render the system itself precarious. Understanding Crisis States and precarious capitalism is crucial in considering prospects for resistance.ABOUT THE AUTHORJeff Shantz is an anarchist writer, poet, photographer, artist, and activist who has decades of community organizing experience within social movements. He currently teaches critical theory and community advocacy at Kwantlen Polytechnic University in Metro Vancouver, Canada. Shantz is the author of numerous books, including Commonist Tendencies: Mutual Aid Beyond Communism (punctum books, 2013), Green Syndicalism: An Alternative Red/Green Vision (Syracuse University Press, 2012), and Constructive Anarchy (Ashgate, 2010). Shantz is co-founder of the Critical Criminology Working Group and founding editor of the journal Radical Criminology. Samples of his writings can be found at jeffshantz.ca. Follow on Twitter @critcrim.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.353 | 0.682 |
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; both teacher heads agree on what is shown here.
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".