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Record W3118484053 · doi:10.4000/extremeorient.2457

Presents and Tribute: Exploration of the Presents Given to the Qianlong Emperor by the British Macartney Embassy

2019· article· en· W3118484053 on OpenAlexaff
Fuxiang Guo 郭福祥

Bibliographic record

VenueExtrême-Orient Extrême-Occident · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsEmperorTributeChinaHistoryGovernment (linguistics)Ancient historyLawPolitical sciencePhilosophyArchaeology

Abstract

fetched live from OpenAlex

Presents and Tribute: Exploration of the Presents Given to the Qianlong Emperor by the British Macartney EmbassyIn 1793, the British government sent a major diplomatic mission to China led by Lord Macartney. According to past interpretations of this, these presents received the full attention of neither the Qianlong emperor nor his court officials. However, this was not actually the case, and a host of Qing court archival documents reveal that great pains were taken to ensure that these precious gifts were conserved appropriately, and some of them even survive today.

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.128
Threshold uncertainty score0.254

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0270.017
Scholarly communication0.0060.002
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.022
GPT teacher head0.283
Teacher spread0.261 · 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
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

Citations3
Published2019
Admission routes1
Has abstractyes

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