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Record W4387354463 · doi:10.3138/ecf.35.4.463

Mercier’s Clinic: Public Health Utopianism in <i>L’An 2440, rêve s’il en fut jamais</i>

2023· article· en· W4387354463 on OpenAlexvenueno aff
Andrew Billing

Bibliographic record

VenueEighteenth-Century Fiction · 2023
Typearticle
Languageen
FieldMedicine
TopicHistorical and Scientific Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTechnocracyEliteEnlightenmentPoliticsUtopiaDystopiaState (computer science)Public healthPublic figureHumanitiesPolitical scienceSociologyEconomic historyLawArtHistoryMedicinePhilosophyTheologyNursing

Abstract

fetched live from OpenAlex

The eighteenth-century medical Enlightenment in France saw fierce conflicts between inoculistes and anti-inoculistes, attacks from philosophes and surgeons on the privileges and dogmas of elite academic doctors, and attempts by reformers to improve medicine, hospitals, and sanitation. In this article, I show that Louis-Sébastien Mercier’s L’An 2440, rêve s’il en fut jamais (1771) intervenes in this debate by portraying a France experiencing a public health crisis and providing compassionate remedies in a futuristic “public health utopia” for the diseases of France’s individual and political bodies, including a proposal for a new inoculation clinic. Mercier’s novel is the first French biopolitical novel, assigning responsibility for health and medicine to the state; it is also technocratic and sometimes anti-populist, and it aims to suppress as much as resolve social antagonisms on the eve of the French Revolution. I argue that Mercier’s view of the state’s role in public health is closer to physiocratic than republican or liberal positions, and affirms several characteristics of the absolutist tradition.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.088
GPT teacher head0.326
Teacher spread0.238 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations0
Published2023
Admission routes1
Has abstractyes

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