Peacekeeping's Poor Cousin: Canada and the Challenge of Post-Conflict Policing
Bibliographic record
Abstract
This paper examines Canadian experiences, policies, and practices with regard to police reform – a key element of the security sector reform agenda – in post-conflict or failed states. While an entire mythology has developed around Canada’s role as originator and long-standing champion of peacekeeping in its military guise, less attention has been paid to policing as the second core pillar of security in transitions from conflict to peace. This is gradually changing, as the limitations of military peacekeepers as agents of peacebuilding become more evident, and as it is increasingly recognized that building sustainable peace in the absence of minimal levels of public security is next to impossible. In many ways, post-conflict police assistance – including the provision of international civilian police for monitoring or law enforcement roles as well as longer-term training and institutional development assistance – is an issue tailor-made for Canadian foreign policy, combining national commitments to human security, to peacebuilding, and to the export of core Canadian values such as peace, order, and good government. However, while Canada’s contributions in this area to date are far from negligible, neither has it been an international leader. The paper will assess Canada’s contributions, and the possibilities for greater Canadian involvement, in this area. It will consider both domestic and international obstacles to a greater Canadian role – such as chronic personnel shortages, interdepartmental politics, and the hodgepodge of inadequately coordinated institutional actors already active in the field – and examine ways in which some of these challenges might be overcome.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".