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Record W4285618075 · doi:10.1017/9781912961177.012

‘Never Sparing Himself in Any Way’: Guangzhou, 1857–1860

2020· other· en· W4285618075 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceGeographyHistory

Abstract

fetched live from OpenAlex

ATHOUGH BOWRING'S ACTIONS had been vindicated by the British electorate, the government nevertheless felt it had to do something about him. He was a menace – absolutely impervious to other points of view, comfortable with ignoring orders when they did not suit him, and convinced of the malice of anyone who disagreed with him. Rather than reflect on what mistakes he might have made, he put the parliamentary vote down to the ‘extraordinary combination of ignorance and faction which made up a majority in the late hours of Commons’. At the same time, he could not be dismissed because to do so would mean admitting that Britain had been in the wrong. So a way was found of sidelining him: he was allowed to stay on as Governor of Hong Kong, but would be superseded in his role as effective Ambassador to China. He did not take it well, telling his son that the Commons ‘majority succeeded in displacing me – but they have not displaced my policy, though they have sent a man of higher rank to do my work and have deprived me of the honors and reputation which the success of my policy would have brought with it’. The job of clearing up the mess in China was given to Lord Elgin, who was not enthusiastic about it, considering the whole conflict to have been a ‘wretched’ blunder. When he told his wife that he had been asked ‘to settle the important and difficult question now embarrassing us in the East’, he asked her, ‘On what grounds can I decline?’ He could not find any, so he accepted. Many a nobleman in this position would not have needed a reason, but Elgin was dependent on government jobs for money. His father had been the Elgin who had acquired the Elgin marbles, an effort that turned out to be ruinously expensive for the family. The £6,000 plus expenses he was being offered would be very welcome indeed. The younger Elgin had done well in the two posts he had been given: Governor of Jamaica and Governor- General of Canada, both tricky jobs which he had managed successfully.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.378

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.002
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.034
GPT teacher head0.282
Teacher spread0.248 · 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 designObservational
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
Published2020
Admission routes1
Has abstractyes

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