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Record W4248838084 · doi:10.11647/obp.0144.02

2. The Publisher: Grigorii Blagosvetlov

2018· book-chapter· en· W4248838084 on OpenAlexfundno aff
Nikolai Krementsov

Bibliographic record

VenueOpen Book Publishers · 2018
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLinguistics and language evolution
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsComputer science

Abstract

fetched live from OpenAlex

In search for answers to these questions, the second chapter follows the life and works of Grigorii Blagosvetlov (1824-1880), the journal’s editor-in-chief and publisher. It was Blagosvetlov who first serialized Florinskii’s treatise in his journal and then released it in book format. And, it was Blagosvetlov, Kremetsov argues, who enticed the young professor to write the treatise in the first place and, to a certain degree, shaped its style and contents. Florinskii’s essays were actually part of a broad campaign waged by the journal and its editor to popularize science and to promote a scientific worldview that sought to understand and eventually to cure the ‘social ills’ plaguing post-Crimean Russia. The propaganda of Charles Darwin’s evolutionary ideas, especially their possible ‘social applications,’ became a particular focus of this campaign, with nearly all of the journal’s core contributors publishing articles, essays, and reviews on the subject. Alas, none of them had adequate training in the natural sciences to explore these questions in depth. This occasionally led to embarrassing incidents and bitter polemics that apparently prompted Blagosvetlov’s invitation to Florinskii to write for Russian Word and the publication of his treatise in four of its 1865 issues. Unlike Galton’s 1865 article based on his original statistical studies of blood relations among ‘British men,’ Florinskii’s treatise was a ‘thought piece’ based on his careful reading and analysis of available literature.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.390
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0280.003
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0970.002

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 head0.031
GPT teacher head0.234
Teacher spread0.203 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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