Semiotics and Contemporary Play Directing: The Example of Ogonna Agu’s Dawn in the Academy
Bibliographic record
Abstract
The success of any theatrical performance depends largely on how the theatre director understands, experiments and explores the wide array of techniques and approaches for creating such theatrical production. This inquiry experimented on the semiotic theory, a 21st century postmodern experimental form, as an approach to creating a theatrical production. The play script Dawn in the Academy was semiotically analyzed and presented from a directorial perspective on the stage of Chinua Achebe Arts Theatre, University of Calabar, Nigeria. The inquiry emphasizes that the semiotic sign system is an indispensable tool in the dialectic interchange between the stage and the audience. The research, supported by the play project establishes that the semiotic discipline is a productive method a director could apply when faced with an interdisciplinary play script. The semiotic oriented approach of directing on the basis of this research, is therefore established as the vehicle, which the ambiguities, indissoluble structure and juxtaposed variegated happenings inherent in scripts can be transformed. Consequently some of the basic elements of the semiotic theory as highlighted in this paper, reveal the rich and vibrant content of the various facets of the semiotic production process. Contemporary play directors in their professional quest to fully interpret and project the works of playwrights to the audience, have, among others, the option of applying the semiotic theory and sign systems in their stage experimentation.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.019 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| 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".