The shifting salience of democratic governance: Evidence from the United Nations General Assembly General Debates
Bibliographic record
Abstract
Abstract How has the salience of democratic governance varied as an issue and as a basis of social status in the United Nations General Assembly (UNGA) over time? International Relations (IR) scholars typically assume a high salience of democratic governance in international society after the Cold War, yet evidence suggests important fluctuations and that these assumptions should be qualified. This article presents quantitative and qualitative results of a manually-coded content analysis of the UNGA General Debates between 1992 and 2014, with comparison to 1982, illustrating variation in the frequency and content of state representatives’ references to democracy and the use of democratic governance as a symbol of status. What factors influence the salience of a given dimension of social status in an international organisation? Explanations supplement IR approaches with insights from social psychology, including the relevance of high and low identifiers, accessibility, fit, current and anticipated group status, and regional status concerns. The article analyses trends in states’ support for principles underpinning international order, which have broader implications for literature on global governance and status in world politics as well as for international democracy support.
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 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 | 0.028 | 0.101 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.014 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".