<i>A Rich Inheritance</i> : An Ecocritical Reading of Ken Saro-Wiwa’s Short Stories and Poetry
Bibliographic record
Abstract
This article examines Ken Saro-Wiwa’s (1941–1995) vision for the Ogoni people through an ecocritical interrogation of his short fiction and poetry. Academic analyses of the Ogoni struggle have been unfailingly anthropocentric in their approaches. This article challenges this dominant epistemology by centring the non-human world. I examine Saro-Wiwa’s collection of short stories ‘A Forest of Flowers’, the poetry anthology ‘Songs in a Time of War’, and his final poems written in prison in the 1990s. An ecocritical reading of these texts will reveal how Saro-Wiwa invokes pastoral tropes and romantic portrayals of a pre-oil ecological paradise to articulate a primordial eco-nationalist Ogoni identity. Throughout his fiction, the fate of the people and the natural world are intertwined, and notions of home and community expand beyond the human to incorporate the ecosystem of the bioregion.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".