Bibliographic record
Abstract
This book critically examines the range of policies and programmes that attempt to manage economic activity that contributes to political violence. Beginning with an overview of over a dozen policies aimed at transforming these activities into economic relationships which support peace, not war, the book then offers a sustained critique of the reasons for limited success in this policy field. The inability of the range of international actors involved in this policy area, the Development-Security Industry (DSI), to bring about more peaceful political-economic relationships is shown to be a result of liberal biases, resulting conceptual lenses and operational tendencies within this industry. A detailed case study of responses to organised crime in Kosovo offers an in-depth exploration of these problems, but also highlights opportunities for policy innovation. This book offers a new framework for understanding both the problem of economic activity that accompanies and sometimes facilitates violence and programmes aimed at managing these forms of economic activity. Summaries of key arguments and frameworks, found within each chapter, provide accessible templates for both students and aid practitioners seeking to understand war economies and policy reactions in a range of other contexts. It also offers insight into how to alter and improve policy responses in other cases. As such, the book is accessible to a range of readers, including students interested in peace, conflict and international development as well as policy makers and practitioners seeking new ways of understanding war economies and improving responses to them.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".