Computational genealogy: Continuities and discontinuities in the political rhetoric of US presidents
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Articulations of discontinuity and moments of dissent have been central to critical historical work. However, such vocabularies and analyses of historical change have received less attention in the emerging field of digital methods. Digital methods based on discerning patterns have focused on continuities, while discontinuities and ruptures have been derivative of trends and patterns. By contrast, genealogical methods attend to the entanglement of continuity and discontinuity, and focus on contingency and singularity. This article proposes to develop methods of computational genealogy to analyze multiple temporalities in historical discourses. We experiment with our proposed computational genealogy using the archive of Inaugural speeches by US presidents. In particular, we show that there is neither a linear advance to Trump’s rhetoric nor an exceptional rupture. Our analysis shows that Trump’s speech is much more the struggle of the Republicans with their own past ideas than struggles with Democrats.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it