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Record W4362451467 · doi:10.1515/9789400604445

The Asian Studies Parade

2023· book· en· W4362451467 on OpenAlexfundno aff
Paul Velde

Bibliographic record

VenueAmsterdam University Press eBooks · 2023
Typebook
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
FundersYork UniversityNational Bureau of Asian Research
KeywordsParadeGeographyHistoryArt history

Abstract

fetched live from OpenAlex

The Asian Studies Parade reflects a lifetime of commitment to the field by Paul van der Velde, a leading Asian studies innovator, scholar, and publisher. The first chapters examine aspects of the Dutch colonial presence in Asia and its intellectual support system in the Netherlands. The author’s engagement with historical biography emerges in studies of such contrasting figures as Japanese interpreter Imamura Gen’emon Eisei, pioneering anthropologist P.J. Veth, and anti-colonialist Jacob Haafner. Van der Velde then continues to describe the development of Asia-Europe links at the end of the 20th century and the emergence of the ‘New Asia Scholar’ in the 21st century. This unique work will interest anyone concerned with wider issues in Asian studies.

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)0.001
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 score0.040
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0060.004
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0400.010

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 head0.055
GPT teacher head0.276
Teacher spread0.220 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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