Bibliographic record
Abstract
This paper explores the dynamics of security sector reform (SSR), a term used to refer to efforts made to reform the security structures of states emerging from conflict or authoritarianism. While "local ownership" is increasingly viewed as a necessary element of any sustainable SSR strategy, there remains a significant gap between international policy and practice in this area. In practice, the SSR agenda continues to be driven largely by international actors, with minimal input, let alone ownership, on the part of either governments or civil society within reforming states. Indeed, the notion of local ownership has come to serve as much as a disciplining mechanism as a tool to overcome exclusion in the making and execution of security policy, and the effectiveness and sustainability of SSR programming have suffered as a result. In light of this, the paper will explore both the potential for, and the limits of, rehabilitating the notion of local ownership to enable more participatory forms of SSR, and argues that any practical local ownership strategy requires a dual policy of negotiating with state actors and engaging with non-state actors.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.026 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".