MétaCan
Menu
Back to cohort
Record W640992247

China and maritime Europe, 1500-1800 : trade, settlement, diplomacy, and missions

2011· book· en· W640992247 on OpenAlexaff
J Wills, J. L. Cranmer-Byng, Jr Peterson, John W. Witek

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChinaDiplomacySettlement (finance)Period (music)HistoryPolitical scienceEconomyGeographyLawArchaeologyPoliticsWorld Wide WebComputer scienceArt
DOInot available

Abstract

fetched live from OpenAlex

China and Maritime Europe, 1500–1800 looks at early modern China in some of its most complicated and intriguing relations with a world of increasing global interconnection. New World silver, Chinese tea, Jesuit astronomers at the Chinese court, and merchants and marauders of all kinds play important roles here. Although pieces of these stories have been told before, these chapters provide the fullest and clearest available summaries, based on sources in Chinese and in European languages, making this information accessible to students and scholars interested in the growing connections among continents and civilizations in the early modern period.

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)0.000
metaresearch head score (Gemma)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.074
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0020.004
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.017
GPT teacher head0.260
Teacher spread0.243 · 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
GenreOther

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

Citations56
Published2011
Admission routes1
Has abstractyes

Explore more

Same topicGlobal Maritime and Colonial HistoriesFrench-language works237,207