Historical Trends in Questioning Presidents, 1953‐2000
Bibliographic record
Abstract
This article develops a system for analyzing the aggressiveness of journalists' questions to public figures and applies that system to a sample of presidential news conferences from Eisenhower through Clinton. The primary objective is to use the phenomenon of aggressive questioning as a window into the White House press corps and its evolving relationship to the presidency. Ten features of question design are examined as indicators of four basic dimensions of aggressiveness: (1) initiative, (2) directness, (3) assertiveness, and (4) adversarialness. The results reveal significant trends for all dimensions, all indicating a long‐term decline in deference to the president and the rise of a more vigorous and at times adversarial posture. While directness has increased gradually over time and is relatively insensitive to the immediate sociopolitical context, initiative, assertiveness, and adversarialness are more volatile and sensitive to local conditions. The volatile dimensions rose from the late 1960s through the early 1980s, declined from the mid‐1980s through the early 1990s, and rose again at century's end. Possible factors contributing to these trends, and their broader ramifications for the evolving relationship between the news media and the presidency, are also discussed.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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 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".