Bibliographic record
Abstract
In the literature on security sector reform (SSR), there is a debate between mainstream analysts of post-9/11 approaches, who argue that second-generation SSR (2GSSR) is emerging in some contexts, and post-colonial critics, who argue that despite discursive changes, Western-driven, securitized practices still dominate. This article bridges those views, building on Larzillière’s (2016) idea that the diffusion of global power offers southern actors room for maneuver to construct alternatives to first-generation SSR. Grounding the debate in the Haitian case, the paper explores the mixed record of police and rule of law reform in that relatively permissive environment. It concludes that while some stakeholders have used Haiti’s margin for maneuver to advance 2GSSR, powerful actors are privileging narrow security goals in a political and socioeconomic context that greatly constrains the consolidation of a new approach. The article concludes by situating the uncertain gains that have been made in Haiti in comparative thinking about the uneven prospects for 2GSSR in diverse fragile and conflict-affected states (FCAS).
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 | 0.002 | 0.002 |
| 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 | 0.008 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".