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Record W4233812016 · doi:10.1017/cbo9781139177658

The Russian Shores of the Black Sea in the Autumn of 1852

2012· book· en· W4233812016 on OpenAlexaboutno aff
Laurence Oliphant

Bibliographic record

VenueCambridge University Press eBooks · 2012
Typebook
Languageen
FieldEarth and Planetary Sciences
TopicMarine and environmental studies
Canadian institutionsnot available
Fundersnot available
KeywordsAnnexationPoliticsNarrativeSt petersburgChinaHistoryDiplomacyBlack seaAncient historyForeign policyClassicsPolitical scienceArtLiteratureLawArchaeologyOceanography

Abstract

fetched live from OpenAlex

The British diplomat and writer Laurence Oliphant (1829–88) was the author of travel diaries and novels, including the very successful Piccadilly (1870). A keen traveller, he worked as a correspondent for The Times during the Franco-Prussian War (1870–1) and served as Secretary to British Diplomat Lord Elgin in Canada, China and Japan. This book is a narrative of the journey Oliphant made to Russia as a young man, with his friend Oswald Smith. Its publication in 1853 coincided with the beginning of the Crimean War, turning the book into an immediate success. From the splendour of mid-nineteenth-century St Petersburg, to the annexation of the Crimea, and the international consequences of Russian foreign policy for Europe, this illustrated book is also full of witty anecdotes and captivating descriptions. Very influential in its time, it remains an important resource for cultural and political historians.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.043
Threshold uncertainty score0.085

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 studies0.0050.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.013
GPT teacher head0.159
Teacher spread0.146 · 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
Published2012
Admission routes1
Has abstractyes

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