Spontaneity of Speech Errors: A Diagnostic Psycholinguistic Case Study
Bibliographic record
Abstract
The aim of this study is to use speech errors as a verbal means of communication to clarify the psychological aspects of George W. Bush’s character. Bush’s character is chosen for being highly controversial, having received the lowest approval rating in 2008 and the highest approval rating after the September 11 attacks. To achieve the aim of this study, a psycholinguistic approach is adopted in addition to a speech production model set by Dell (1999), and Chang and Griffin (1999). Some of Bush’s spontaneous errors are supposed to be collected, and then categorized from a psycholinguistic perspective and finally analyzed statistically. The main results of the study can be summed in the following points. (a) The phonological and morphological errors, caused by the psychological priming, reveal how much perplexity and confusion Bush has experienced. (b) Bush’s Freudian slips—caused by psycho-physiological factors, such as fatigue, excitement, and distraction—reveal the fact that he is not an open outright president as he represses many thoughts and feelings more than he shows. (c) Bush’s syntactic errors, caused by the improper lexical insertion, reveal his poor linguistic competence; the matter that reveals low intelligence for many psychologists such as Pishghadam and Shams (2012). (d) The economical use of speech disfluencies, caused by problems in the recognition system, reveals that Bush has a tendency of rashness. That is, he may take rapid incorrect decisions that lead to catastrophes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.168 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".