International Reactions to the Capitol Attack of January 6th: A Media Frames Analysis
Bibliographic record
Abstract
On January 6, 2021, the United States experienced an insurrection at the United States Capitol that was framed in varying and complex ways by traditional U.S. allies, competing nations, and adversaries. This manuscript examines the statements of foreign leaders, international media reports, and social media posts through a media framing analysis. Thousands of pages of press reports from countries, including the United Kingdom, Germany, France, Canada, Australia, Mexico, Israel, Russia, and China, formed different views of the insurrection. There were concerns about U.S. democracy, questions about U.S. leadership, and expressions of each nation’s self-interest in the transactional nature of their own economical, ideological or political interests. Operationalizing a media frame analysis, this essay examines the January 6th events to suggest that global reactions to democracy are bolstered, ridiculed, and, frequently, contested internationally.
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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".