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Record W4388268904 · doi:10.1080/14688417.2023.2272947

<i>A Rich Inheritance</i> : An Ecocritical Reading of Ken Saro-Wiwa’s Short Stories and Poetry

2023· article· en· W4388268904 on OpenAlexaff

Bibliographic record

VenueGreen Letters · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan Campus
Fundersnot available
KeywordsPoetryReading (process)Inheritance (genetic algorithm)LiteratureHistoryPhilosophyArtLinguisticsBiologyGenetics

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score0.522

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.228
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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