The Significance of Modern Arabo-Islamic Drama in Nigeria: The Case of Alabi’s Almajaa (Starvation)
Bibliographic record
Abstract
Drama Continues to be a tool used for projecting the image and historical antecedents of a people and as well used for the unveiling the socio-economic and political ills of a society. It brings out the realities of negative and positive acts of the society. The evil acts perpetrated by some undesirable elements in the society. The medium which has the capacity to inform and address these social ills is the modern Drama and theatre, because it mirrors every phase of life and embraces every strata of Society. It is against this backdrop that this study set to examine the predicaments of civil servants in some states in Nigeria through the modern Arabo-Islamic Drama. The paper looks at how the playwright AbdulganiyiAlabi has captured the challenges of civil servants in our society. The paper adopted case study and content analysis approaches of the qualitative research method. The paper therefore suggest that Arabic and Islamic playwrights in Nigeria should focus more on contemporary social matters by using Drama to educate, inform and correct socio-economic ills. The study concludes that the learning of Drama should be given more priority in the syllabus and curriculum of Arabic literature in Nigeria right from primary school to the tertiary institution.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".