Bibliographic record
Abstract
The belief that »Nature« exists as a blank, stable stage upon which humans act out tragic performances of international relations is no longer tenable. In a world defined by human action, we must reorient our understanding of ourselves, of our environment, and our security. This book considers how decentred and reflexive approaches to security are required to cope with the Anthropocene - the Human Age. Drawing from various disciplines, this bold reinterpretation explores the possibilities for understanding and preparing a future that will look vastly different than the past. The book asks to dig deeper into what it means to be human and secure in an age of ecological exception. "In a growing field of interdisciplinary work on the Anthropocene, ›Security in the Anthropocene‹ sets itself apart. It blends ideas from criminology, international security studies and the environmental humanities to provide unique interdisciplinary insight into the challenges of living on an increasingly turbulent earth." - Audra Mitchell, Balsillie School of International Affairs/Wilfrid Laurier University "This essential, groundbreaking book offers a new conceptual framework that recalibrates what security means in the Anthropocene. Not content on simply highlighting the state of crisis fostered by existential risks in this new era, Cameron Harrington and Clifford Shearing invite us to imagine a more positive and caring form of security." - Benoit Dupont, University of Montreal "Harrington and Shearing's fine book explores evocatively how humans might cope with a world that is fundamentally changed through a critical appraisal of how new impacts on the Earth system shift the conditions of security. This is a tour de force of how our concepts of security create the world that afflicts us. The authors argue, convincingly, that there can be no security in the Anthropocene without an expanded vision of care." - John Braithwaite, Australian National University
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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".