Portraits for an eagle: a festschrift in honour of Femi Osofisan
Bibliographic record
Abstract
To mark the 60th birthday of Femi Osofisan, this unique collection of essays by friends and critics pays tribute to his many achievements as a director, teacher, essayist, novelist, poet, critic and one of the foremost playwrights from Africa. The essays provide an important insight into the man,his work and his valuable contributions to theatre and literature in Africa. \n \nFemi Osofisan has taught, directed and had his plays performed in several countries including Australia, Canada, Germany, Ghana, Sierra Leone, Jamaica, Lesotho, Sri Lanka, United Kingdom and the USA. Author of more than fifty plays, two books for junior readers, four works of fiction, four collections of poetry anf four volumes of essays, Osofisan also has popular columns in a number of Nigerian newspapers. Currently the President of the Nigerian Centre of International PEN and a Patron of the Pan-African Writers' Association, he has been the President of the Association of Nigerian Authors. Osofisan is currently a Professor of Drama at the University of Ibadan, Nigeria. \n \nPortraits For An Eagle is a definitive tribute to a man of the theatre. Contributors include fellow writers, distinguished academics and critics like Biodun Jeyifo, James Gibbs, Olu Obafemi, Barbara Goff and Martin Banham.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".