On Political Participation: Discursive Pragmatics and Social Interaction in Nolitics
Bibliographic record
Abstract
Nolitics is a Nigerian online political discussion forum that provides an opportunity for social interaction and political participation, through new media technologies. It is hosted by NaijaPals – a hosting website with social networking and blogging activities. Naijpals maintains an online community of bloggers with Nolitics as a discussion forum solely devoted to social and political debates. Members exchange information and engage in social analyses and criticisms of Nigeria’s political performances. A total of 104 ‘posts’ are analyzed in the framework of computer-mediated discourse analysis with insights and methods from pragmatics. Findings show that discursive/ pragmatic strategies such as modality, implicitness/implication, directive speech acts, proposition/inference and indirect speech acts function as a means of mobilizing people towards political participation e.g. voting during elections. They are also used as strategies for attacking corruption and political power abuse, initiating and practising political propaganda by politicians and as discourse tact of preventing offences. The study reveals that new media technologies not only promote political participation and governance but show that the people are hungry to be involved in political issues and questions that affect their lives. Corruption and political power abuse are identified as major banes of modern democracies, particularly the Nigerian context. Key words: Nolitics; Nigeria; Politics; Political Participation; Discussion forum; Posts
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 | 0.000 | 0.000 |
| 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 | 0.000 | 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".