World petro-illiterature: An ecofeminist reading of ecological refugees in Chris Cleave's Little Bee
Bibliographic record
Abstract
This paper stresses the link between gender and ecology in the era of globalization through a study of Chris Cleave’s Little Bee. It starts by engaging with the theories of world energy literature. Then, it sheds light on the geopolitical context surrounding the storyline. The next section focuses on the contradiction between British companies’ free access to Nigerian oil and resources and the ban placed before the movement of Nigerian citizens to the UK. The following section explores the impact of capitalism’s decimation of the Nigerian ecology on women. Petro-capitalism’s disregard for its destruction of the Nigerian ecological scene is paralleled to its lack of regard for the forced removal of women. My discussion of the intersections between the capitalist exploitation of women and natural resources demonstrates that the British neocolonial and imperialist search for wealth in Africa necessitates the abuse of both nature and the female body.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 teacher head, 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".