Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.037 | 0.033 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".