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Record W2032094756 · doi:10.3138/ecf.27.1.83

Metrology: The Body as Measure in <i>Les Liaisons dangereuses</i>

2014· article· en· W2032094756 on OpenAlexvenueno aff
David McCallam

Bibliographic record

VenueEighteenth-Century Fiction · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyPrincipal (computer security)SociologyContext (archaeology)Representativeness heuristicMetric (unit)AestheticsEpistemologyHistoryPoliticsPhilosophySocial psychologyPsychologyLawComputer sciencePolitical scienceArchaeology

Abstract

fetched live from OpenAlex

This cultural-historical reading of Les Liaisons dangereuses (1782) situates it in the context of the 1780s engagement with weights and measures reform in France. The protagonists of the novel resort to a language of weights and measures in order to appraise their world which is fraught with material, sexual and ideological signification. Contemporary discussions of weights and measures often incriminated the seigneurial regime as principal abuser of the system, invoking in the process philosophical connotations of “the just measure” or socially responsible moderation and equity. As well, the human body remained at this time the principal benchmark for constituting the systems of measurement with which the French of the 1780s gauged and appraised their physical and imaginative environments. Hence, Choderlos de Laclos’s famous letter-novel of 1782 provides a telling case study allowing us to determine how far the uniquely resonant universe of contemporary fiction reflects and inflects the metrological concerns of its society as well as potentially suggesting ways in which people still measure and weigh the world atavistically, according to pre-metric and pre-decimal, corporeal means.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.659
Threshold uncertainty score0.766

Codex and Gemma teacher scores by category

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

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 head0.014
GPT teacher head0.256
Teacher spread0.242 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2014
Admission routes1
Has abstractyes

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