Examining informal defence and security arrangements’ legalization: Canada–US agreements, 1955–2005
Bibliographic record
Abstract
This article presents and examines a model of legalization on an original dataset of informal Canadian–US defence and security arrangements (DSA) formed between 1955 and 2005. Non-treaty arrangements permit US presidents to bypass Senate ratification, resulting in expediency and secrecy, both assets in defence and security relations. That withstanding, informal arrangements contain provisions responding to certain strategic problems. They detail aspects of legalization: delegation; obligations; and precision. Leaders select informal arrangements to incur fewer public commitments, but design them to ensure credibility. In that context, what factors shape informal DSA legalization? Propositions developed from delegation and rational institutionalist arguments identify the factors influencing informal DSA legalization. The Canada–US case is germane due to its “rules-based” nature and heterogeneity. An original dataset of the legal design of eighty-two bilateral DSA is introduced and analyzed. Results confirm cabinet shuffles and unified governments decrease DSA legalization while Democrat presidents and rising military threats increase it.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".