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Record W4391999990 · doi:10.1098/rsnr.2023.0055

Nineteenth-century Japanese and British science in context: an introduction to transnational-comparative studies

2024· article· en· W4391999990 on OpenAlexafffund
Bernard Lightman, Efram Sera‐Shriar, Yoshiyuki Kikuchi

Bibliographic record

VenueNotes and Records the Royal Society Journal of the History of Science · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsYork University
FundersYork University
KeywordsHistoriographyGlobePeriod (music)Context (archaeology)Social scienceCultural studiesHistorySociologyAnthropologyMedia studiesAestheticsPhilosophyArchaeology

Abstract

fetched live from OpenAlex

This special issue focuses on the complex cultural connections between Japanese and British science in the nineteenth century. This was a period when intellectuals around the globe began to interact more intensively due to increased opportunities to travel and the growth in translations of important scientific works into many languages. This was also an era when, in the latter part of the century, Japanese intellectuals were searching for ways to modernize their culture, while in Britain there was a renewed interest in Japanese culture and religion as traditional forms of thought were being questioned. Although there has been some excellent scholarly work on the impact of British evolutionary theory on Japanese intellectuals, the fuller picture of cultural exchange across all the sciences has yet to be undertaken. This special issue will begin to close this historiographical gap by examining the intersection of nineteenth-century Japanese and British science across a range of disciplines from engineering, chemistry and physics to biology, sociology and anthropology.

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)0.003
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.994
Threshold uncertainty score0.213

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.017
Science and technology studies0.0060.008
Scholarly communication0.0070.006
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.027
GPT teacher head0.298
Teacher spread0.271 · 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
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
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueNotes and Records the Royal Society Journal of the History of ScienceSame topicJapanese History and CultureFrench-language works237,207