World literature and commodity Frontiers
Bibliographic record
Abstract
This introduction to a special issue on world literature and commodity frontiers elaborates on the methodological premise of the issue. The essays collected here all pursue a form of comparativism grounded in the life- and environment-making dynamics of commodity frontiers. Commodity frontiers are spaces of extraction or production that reorganize land and labour in such a way as to send vast reservoirs of food, energy, raw materials, and labour-power into the world-economy. Exploring how literature responds to frontier-led transformations in human and nonhuman natures allows for the comparison of texts across both space and time. The essays in this volume cover literary works from the late nineteenth century to the present. Focusing on frontier zones from South Wales to southern Africa, Canada to the Caribbean, Dorset to Oceania, they explore the political ecologies and cultural valences of a broad range of extractive, agro-industrial, and technological operations, including sugar monoculture, copra cash-cropping, oil extraction, coal mining, water extractivism, stone quarrying, the opium trade, and the contemporary data frontier. Not only do the essays analyse socioecological conflicts in, and cultural responses to, peripheralized sites of primary commodity production. They also demonstrate where the logics of the commodity frontier are replicated and applied outside of the ecological sphere and place the concept within a wider network of relations including social reproduction and immaterial labour.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 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".