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Record W2482233376 · doi:10.1017/cbo9780511706967.007

THE RENAISSANCE IN INDIA — THE ENGLISH LANGUAGE AND THE CHURCH

2010· book-chapter· en· W2482233376 on OpenAlexaboutno aff
George Smith

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCommonwealth, Australian Politics and Federalism
Canadian institutionsnot available
Fundersnot available
KeywordsThe RenaissanceLinguisticsHistoryClassicsArtPhilosophyArt history

Abstract

fetched live from OpenAlex

L ord W illiam B entinck was ready. He had enjoyed what some call the drawbacks, but all true men pronounce to be the real advantage, of being a younger son. The second son of the third Duke of Portland, Lord William Cavendish Bentinck was thrust out into positions where he developed for the good of humanity all those virtues and that ability which had made Hans. William, the founder of the house, second only to his friend William III. as a benefactor of Great Britain. Because, while still under thirty, he happened to be Governor of Madras when the family of Tippoo provoked the mutiny of Vellore, Lord William Bentinck was recalled by the Court of Directors for exacly the same avowed reason which caused their own extinction after the Mutiny of 1857. In the interval before his return to India as Governor-General the young administrator secured a constitution for Sicily, and, in 1814, he would have restored the old republic of Genoa but for Lord Castlereagh's stupidity. It was one of the many merits of George Canning that, during his too brief term as Prime Minister, he sent Lord William Bentinck to govern all India. Already, when Duff landed, had the new Governor-General spent two of the seven years which have marked the page of British India with triumphs hardly less brilliant than those of the Marquis Wellesley, and paralleled only by the later achievements of the Marquis of Dalhousie.

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 score0.059
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0060.007
Scholarly communication0.0050.001
Open science0.0000.002
Research integrity0.0010.003
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 head0.018
GPT teacher head0.239
Teacher spread0.221 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicCommonwealth, Australian Politics and FederalismFrench-language works237,207