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Record W4388742177 · doi:10.1525/luminos.187

Quinine’s Remains: Empire’s Medicine and the Life Thereafter

2023· book· en· W4388742177 on OpenAlexfundno aff
Townsend Middleton

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicHistory of Science and Medicine
Canadian institutionsnot available
FundersMario Einaudi Center for International StudiesDavid R. Atkinson Center for a Sustainable Future , Cornell UniversityUniversitas BrawijayaMcGill UniversityWenner-Gren FoundationAmerican Indonesian Exchange FoundationAndrew W. Mellon Foundation
KeywordsQuinineEmpireAncient historyHistoryMedicineTraditional medicineArtMalaria

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.995
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.014
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.082
GPT teacher head0.263
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

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Same topicHistory of Science and MedicineFrench-language works237,207