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Record W4297521800 · doi:10.1163/18253911-bja10040

Huygens’s Carriole

2022· article· en· W4297521800 on OpenAlexaff
Jean‐François Gauvin

Bibliographic record

VenueNuncius · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCraftCommodityBourgeoisieFace (sociological concept)Transformative learningSociologyPerfectionEngineering ethicsPolitical scienceEpistemologySocial scienceBusinessEngineeringLawVisual artsPhilosophyArt

Abstract

fetched live from OpenAlex

Abstract Christiaan Huygens spent five years (between 1663 and 1668) deeply involved in carriage design and manufacturing. This method of transportation, essential to living a honest bourgeois life in European cities, especially in Paris, where the streets’ muck was glorious, took many forms and concerned more than specialized artisans. Several members of Huygens’s family took an interest in improving this technology. The article, in detailing Huygens’s commitment to a distinct type of urban commodity, seeks to exemplify the savant’s early method of creating new technical knowledge. Questions were raised from theoretical and craft perspectives; securing patents and authorship became a crucial feature of knowledge making. From such concerns regarding a fast-evolving and transformative urban commodity, the article argues that Huygens’s approach to carriage design is another instance that conditioned him to respond effectively to the several priority disputes he would face during his lifetime regarding other technological devices, especially his balance-spring watch.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.025
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.010
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.029
GPT teacher head0.195
Teacher spread0.166 · 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.

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
Published2022
Admission routes1
Has abstractyes

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