MétaCan
Menu
Back to cohort
Record W2996147299 · doi:10.4324/9780429283413-7

Linschoten—Pyrard de Laval—Pietro della Valle

2019· book-chapter· it· W2996147299 on OpenAlexaboutno aff
Edward Farley Oaten

Bibliographic record

Venuenot available
Typebook-chapter
Languageit
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

The first Dutch enterprise which successfully reached the East Indies was that of Cornelius Houtman in 1595; but this was only rendered possible by John Huyghen van Linschoten, who visited Portuguese India in 1583. Linschoten, who was a native of the province of Utrect, went at the age of sixteen to Seville in Spain, and in April, 1583, sailed for Goa in the suite of Vincente de Fonseca, who had been appointed to the Archbishopric of Goa. The startling exposure of its weakness and of the corruption and immorality of its administrators immensely stimulated not only the Dutch but all Europe in its desire to endeavour to wrest some of the profits of the Indian trade from the hands of those who had monopolised them. The castaways had, in the meantime, been made captive by the natives, but, save for the loss of their liberty, were not inhumanely treated.

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)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.077
Threshold uncertainty score0.259

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0770.034

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 head0.041
GPT teacher head0.243
Teacher spread0.202 · 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

Citations0
Published2019
Admission routes1
Has abstractno

Explore more

Same topicNeurology and Historical StudiesFrench-language works237,207