Pragmatic Analysis of President Muhamadu Buhari’s Cumulative Lockdown Order of the Federal Captital Territory, Ogun and Lagos States on COVID 19 Pandemic at the State House Abuja on Monday, April 27, 2020
Why this work is in the frame
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Bibliographic record
Abstract
This paper investigates the pragmatic acts of locution, illocution, and perlocution in President Muhamadu Buhari’s cumulative Lockdown order of the Federal Capital Territory, (Abuja), Ogun, and Lagos States during the COVID 19 pandemic on Monday, April 27, 2020. We adopt J. L. Austin’s (1962) and Searle’s (1969) speech act theory, using the illocutionary acts of: expressive, declaratives, assertive, directives, and commissive. The data for this paper are drawn from President Muhammadu Buhari’s speech on COVID 19 on Monday, April 27, 2020. In this study, qualitative research method is adopted; and the descriptive survey method is used for the data analysis. The study reveals that the President used more of assertive speech acts which recorded an overall frequency of 15 and (42%) to affirm, announce, report and state the damaging effect of the pandemic on human lives and economies across the globe, and the measures to be taken in protecting the lives and livelihood of Nigerians. This is followed by expressive and commissive speech acts which recorded a frequency of, 8 and (22%) each and finally directive speech act which has a frequency of 5 and (14%). The perlocutionary effects of the lockdown order on Nigerians are: hope, optimism, compliance and awareness. The percentage and frequency of speech acts are arranged on a table and presented on a pie chart.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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