Bibliographic record
Abstract
What happens after colonial industries have run their course—after the factory closes and the fields go fallow? Set in the cinchona plantations of India’s Darjeeling Hills, Quinine’s Remains chronicles the history and aftermaths of quinine. Harvested from cinchona bark, quinine was malaria’s only remedy until the twentieth-century advent of synthetic drugs, and it was vital to the British Empire. Today, the cinchona plantations—and the roughly fifty thousand people who call them home—remain. Their futures, however, are unclear. The Indian government has threatened to privatize or shut down this seemingly obsolete and crumbling industry, but the plantation community, led by strident trade unions, has successfully resisted. Overgrown cinchona fields and shuttered quinine factories may appear the stuff of postcolonial and postindustrial ruination, but quinine’s remains are not dead. Rather, they have become the site of urgent efforts to redefine land and life for the twenty-first century. Quinine’s Remains offers a vivid historical and ethnographic portrait of what it means to forge life after empire.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".