Rethinking the Conflict-Poverty Nexus: From Securitising Intervention to Resilience
Bibliographic record
Abstract
Stability connects policymakers, practitioners, academics, and others with timely, peer-reviewed research on a wide range of issues related to security and development, including:- Armed conflict- Sexual violence- Weak governance- Corruption- Organized crime- Terrorism- Development cooperation- Humanitarian intervention- Peacekeeping- Security Sector Reform (SSR)All research articles, commentaries, book reviews, and practice notes published by Stability are freely accessible and widely disseminated in academic, policy, and practitioner networks. Stability is particularly dedicated to providing a vehicle for researchers based in fragile, failed and conflict-affected states (FFCAS) to publish their work. Stability not only features evidence-based research and analysis but also promotes a more timely and responsive model of publishing.Stability is the flagship publication of the Division of Peace Studies and International Development at the University of Bradford, England. This division represents the oldest university Peace Studies department in the world (founded in 1973) and a pioneering centre in development, founded in 1969. The University of Bradford's motto is 'making knowledge work, which is why this journal meshes perfectly with our mandate for practice- and impact-oriented research.For more information regarding Stability, visit the ABOUT page.Impact on Policy and PracticeWorks published with Stability are having a growing impact on policy and practice given the journal’s open-access publishing model and the expertise of its contributors. Stability disseminate its articles, practice notes and commentaries not only through this website but also through several dozen other online portals and communities of practice to ensure that they reach people working in and on violence-affected environments around the world. The results are telling research articles published with Stability are routinely viewed thousands of times – compared to a few dozen times for most pay-walled journals – in only a matter of months and are particularly being read in countries and regions facing security dilemmas. A significant proportion of Stability article downloads are coming from places like Nigeria, India, Indonesia, South Africa, Brazil, Colombia and Kenya. Learn more about Stability’s open access, impact-oriented publishing model by visiting the ABOUT page.
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 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 | 0.017 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.103 |
| Scholarly communication | 0.013 | 0.026 |
| Open science | 0.003 | 0.020 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".