Governmentality in North American and Post-Soviet Political Discourses: An Analysis of Presidential Speeches and Their Analogues in the United States, Canada, Russia, Ukraine, and Kazakhstan Delivered From 1993 to 2021
Bibliographic record
Abstract
This article discusses political discourses in five North American and post-Soviet countries through the lens of Michel Foucault’s concept of governmentality. Three types of governmentalities (sovereignty, discipline, and security) are differentiated and used in critical discourse analysis. It is shown with the help of quantitative procedures that the governmentality based on security prevailed in Russia, Ukraine, and Kazakhstan at the discursive level until the start of the 2010s. The concept of security does not seem to capture all aspects of the system of governance that existed in North America during the same period. State of the Union speeches and their analogues, Google Books corpus, Web of Science, and eLibrary databases of scholarly publications informed the analysis. In total, 119 speeches were content analyzed using a custom-built dictionary.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.012 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".