Bibliographic record
Abstract
Co-author Scott debates Daniel Fata (Vice-President of the Cohen Group in Washington, DC; US Deputy Assistant Secretary of Defense for Europe and NATO Policy from 2005 to 2008) in the Nez-a-Nez section of the quarterly world affairs magazine, Global Brief. The proposition put to Scott and Fata by Global Brief was: ‘Secrecy is a necessary condition for good governance’. Scott argued against and Fata argued for the proposition. In the result, both conceded aspects of the other’s position, while maintaining distinctly different views about where – and, notably, when – to draw the line between secrecy and transparency. The debate addresses good governance generally but focuses more particularly on governance as it relates to foreign policy decision making and diplomatic statecraft, against the backdrop of the rise of Wikileaks and with special reference to Wikileaks’ release of US Embassy cables. Specific contexts raised as examples include the Iran-Contra affair, the US and UK roles in the Iraq invasion and its aftermath, the coup d’etat in Honduras, sanctions against Zimbabwe, war crimes in Sri Lanka, transfer of detainees to torture by Canada, and nuclear weapons in the hands of Israel and Iran. The present SSRN version appears on the Global Brief website, while a substantially identical version appears, differently formatted and with final edits, in the print edition.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".