Critical Analysis of Evasion Techniques in American Political News Interviews
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
The present study focuses on the application of evasion techniques initially introduced by Bavelas (1990) and then developed by Bull (2003) by American Foreign Ministers within the last decade. Three main news were selected (CNN-BBC-NBC) and 20 interviews were randomly selected .The analysis of data was conducted through a detailed description of the questions and answers .The techniques were examined and also the dimensions of resistance were analyzed to see if there is a relationship between the kind of resistance and the type of evasion techniques. Finally ,the interviewees for each minister were compared to clarify the frequency of the used techniques and differences in application of each technique, while indicating significant differences between these two sets of interviews ,the study proves that there are similarities in application of techniques . It also proves that different politicians often use the same dimension of resistance. The way the politicians resist is different from person to person. Some choose to resist positively and some negatively but this study proves that the main dimension of resistance is “positive dimension and topic shift ‟‟.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| 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