MétaCan
Menu
← Back to cohort
Record W4416321332 · doi:10.52843/cassyni.2b7hrd

Transnational Studies of 19th-Century Japanese and British Science

2025· article· W4416321332 on OpenAlexaff
Bernard Lightman, Efram Sera‐Shriar, Yoshiyuki Kikuchi

Bibliographic record

Venuenot available
Typearticle
Language
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsYork University
FundersDaiwa Anglo-Japanese Foundation
KeywordsHistoriographyGlobeCultural studiesPeriod (music)Intersection (aeronautics)Cultural exchange

Abstract

fetched live from OpenAlex

This seminar will discuss a recent special issue that 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)0.005
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: Empirical
Teacher disagreement score0.991
Threshold uncertainty score0.577

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0090.007
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.019
GPT teacher head0.309
Teacher spread0.290 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same topicJapanese History and Culture→French-language works237,207→