Crude Fictions: How New Nigerian Short Stories Sabotage Big Oil’s Master Narrative
Bibliographic record
Abstract
New Nigerian short stories, more easily available to readers than ever before, call into question the dominant discourse around oil production nationally and internationally as they depict the complex, lived reality of a resource-rich country riven by corruption, greed, and poverty. The struggle over oil resources and rights regularly involves acts of sabotage and because of their content, their form, and their distribution, the stories themselves can be considered as small acts of sabotage. The stories’ formal qualities - or lack thereof - reflect the circumstances of their production as a tertiary by-product of sabotage. Like the material by-product, the crude oil to be distributed as part of an informal economy, these stories are unrefined. This textual output, like that commodity form, is more quickly available, less constrained by production, less costly for being raw or unprocessed, and more willfully destructive of disciplinary institutions, corporate, national, and literary.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".