Conflict and Security Indices: A Summary of Open-Source Data
Bibliographic record
Abstract
This DRDC Toronto technical memorandum contains summaries of a select number of widely used conflict and security indices freely available as open-source databases on the World Wide Web. It provides a succinct description and purpose of each project, information about the supporting organization, principal investigators, data sources used, temporal coverage, the number of countries included, indices/variables, methodology, web link, and data format. The summaries represent a focused extension of DRDC Toronto Technical Report 2008-167, which aimed to provide a comprehensive overview of open-source databases accessible via the Internet that are meant to be used as guides for international investors, official aid donors, policy makers, analysts, academia, and other information seekers looking to exploit conflict-and security-related open-source information. The following databases of indices and indicators are included: Bertelsmann's Transformation Index, Corruption Perceptions Index, Democracy Rank, Failed States Index, Fragile States Index, Freedom in the World Index, Freedom of the Press Index, Global Competitiveness Index, Global Peace Index, Human Development Indicators, Index of Economic Freedom, Minorities at Risk, Political Terror Scale, Polity IV Project -- Political Regime Characteristics and Transitions 1800-2006, Polyarchy and Contestation Scales, Press Freedom Index, and World Governance Indicators.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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".