Postcolonial Poetry and the Environment
Bibliographic record
Abstract
Examining a wide variety of poets from the last three decades of the 20th century to the present, from Asian, African, South American and settler colonies such as Canada and Australia, Pramod K. Nayar maps a poetry of ecological care, vulnerability and resilience. While environmental fiction has been widely studied, environmental poetry has not received the same level of attention. In Postcolonial Poetry and the Environment, Nayar studies the work of over 50 poets from the Global South and the formerly colonized, including John Kinsella, Tanure Ojaide, Linda Hogan, Kofi Awonoor, Okot p’Bitek, Ben Okri, and Sherwin Bitsui. He traces an ecological consciousness that cuts across human and nonhuman, living and non-living domains. This book is interested in the making, unmaking and remaking of worlds and meanings in the age of cataclysmic climate shifts, while aware of the histories that fashioned the planet in unjust and unequal ways, and to which the poets bear witness, as well as proposing alternative ways of seeing and meaning-making.
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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 | 0.000 | 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 | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.007 |
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".