Commissions of Inquiry and National Security
Bibliographic record
Abstract
This text presents a comparative, international study of commissions of inquiry that have been convened in response to extraordinary failures and scandals. In recent years, commissions of inquiry have been common to the politics of the United States, Britain, Canada, and Australia. Recent years have seen a much wider range of states establish commissions of inquiry into intelligence and security issues, and they have also played important roles in transitions in Latin America and Eastern Europe. Commissions of inquiry are no longer even the exclusive preserve of states, as transnational institutions such as the United Nations and European Union have begun to convoke them. This groundbreaking book comprehensively examines commissions of inquiry around the world, which have become important and increasingly invoked tools to discover truth, curb abuses, and reconcile national security imperatives with the constraints of law and human rights. It offers timely insights for national security analysts, government officials, diplomats, lawyers, scholars, human rights monitors, students, and citizens.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".