“We believe in democracy…”: Epistemic Modality in Justin Trudeau’s Political Speeches
Bibliographic record
Abstract
This article investigates epistemic modality in political discourse. It focuses on modality markers in terms of their word classes, semantic meanings and discourse functions in political speeches. The data were taken from three speeches delivered by the 23rd Canadian Prime Minister Justin Trudeau. The results show that the markers found in the three speeches are of five different types, i.e., lexical verbs, modal adjectives, modal adverbs, modal auxiliary verbs and modal nouns, with meanings ranging from possibility, probability, to certainty. The markers also indicate the speaker’s commitment whose degree reflects the function in the social context. The speaker’s commitment is divided into three degrees of engagement, each of which serves as a means to be polite, to be diplomatic, and to be persuasive. The findings suggest that Trudeau tends to use reasonable judgment expressions to sound diplomatic and persuasive in his speeches.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".