Pragmatic Analysis of Selected Speeches of Some Governors on Workers’ Day Celebration in Nigeria
Bibliographic record
Abstract
This study focuses on the pragmatic analysis of selected speeches made by some governors on Workers’ Day Celebration in Nigeria. The study aimed to identify and analyze the pragmatic features of the speeches and to establish how these features reveal the governors’ intentions. Purposive sampling method was used to select and transcribe two recorded speeches of Governor Emmanuel Udom (2019) of Akwa Ibom State and Governor Seyi Makinde (2020) of Oyo State. Qualitative research design was used to analyze the transcribed texts. The theoretical models of Speech Acts by Austin (1962) and Searle (1969) were deployed in the analysis. The findings revealed that the pragmatic features in the speeches were conveyed through the following illocutionary acts: assertive (33%), commissive (20%), declaratives (15%), executives (13.75%), expressive (10%), and directives (7.5%). The study also establishes that the governors’ intentions were to prioritize workers’ welfare, encourage and assure them of their interest and sustain the post-COVID 19 economy. The study concluded that the pragmatic features of the speeches effectively conveyed the governors’ intentions and motives, thus highlighting the importance of language and ideology in political communication.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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 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".