Dissecting Military and Security Outsourcing in Canada’s Expeditionary Culture : Afghanistan and the Future
Bibliographic record
Abstract
This chapter identifies that military and security outsourcing has helped a constrained professional military to conduct long-term and substantial operations overseas. It recognises that military and security outsourcing allowed Canada to make a contribution to international security while at the same time it helped to remake the Canadian Armed Forces' (CAF's) image. It then shows that outsourcing of the type contributed to the political palatability of Canada's expeditionary operation in Afghanistan. The chapter focuses on what the future might entail given the Afghanistan experience and potential shifts in Canadian military engagement. Military and security outsourcing is a fixture in the Canadian Armed Forces' (CAF) expeditionary operations. In August 2013, even with no substantial foreign military engagement underway at that time, the Department of National Defence (DND) initiated the iteration of the Canadian Forces Contractor Augmentation Program (CANCAP). The CAF's engagement in Afghanistan, Canada's largest, longest and most violent operational commitment since the Korean War, served as a multifaceted rebranding tool.
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 | 0.000 | 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 | 0.001 | 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".