A Critical Discourse Analysis of ‘Fire and Fury: Inside the Trump White House’ by Michael Wolff
Bibliographic record
Abstract
Language plays a pivotal role in constructing identity and ideology. It shapes the people’s ideas and beliefs about specific perspectives. This research is mainly concerned with constructed ideologies through discourse. The present study is based on the book “Fire and Fury: Inside the Trump White House” written by Michael Wolff. The approach for present research is qualitative in nature and for analysis; different extracts are taken from the book. It adopts Fairclough’s (1992) three-dimensional model for analysis which includes textual, discursive practice and social practice analyses. The study reveals that a constructed ideology of Trump is portrayed in this book, in which, he is presented as ineligible and unfit person for the post of president of United States. Thus, in conclusion, the value of discourse in conveying the specific ideology cannot be underestimated.
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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 | 0.000 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 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".