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Record W2892850159 · doi:10.11647/obp.0144.01

1. The Author: Vasilii Florinskii

2018· book-chapter· en· W2892850159 on OpenAlexfundno aff
Nikolai Krementsov

Bibliographic record

VenueOpen Book Publishers · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsHistory

Abstract

fetched live from OpenAlex

‘The Author,’ presents a multitude of individuals, events, ideas, places, institutions, and ideals, which altogether and each separately molded the future author of Human Perfection and Degeneration. Born to the clergy and educated at primary and secondary theological schools in the provinces, Florinskii wanted to continue his ecclesiastical career and to complete his training at the highest theological school—St. Petersburg Theological Academy. An accident barred the doors of the theological academy to the ambitious youth. So, instead, he enrolled in the Imperial Medical Surgical Academy (IMSA), the country’s foremost medical school. After five years of extensive studies he became a physician, switching almost seamlessly from theology to gynecology and from tending to the souls of his parishioners to taking care of their bodies. Florinskii’s teachers noticed his abilities and slated the freshly minted physician to a professorial position at his alma mater. Over the next three years, he successfully passed all the required examinations and defended a dissertation for the Doctor of Medicine degree. With all the formal requirements completed on time and with the highest marks, the IMSA Council sent Florinskii on a two-year, all-expenses-paid tour of European medical schools and clinics for advanced training. Upon his return to St. Petersburg in the early fall of 1863, the young doctor became an adjunct-professor at the department of gynecology and obstetrics and began a successful career as a teacher, a researcher, and a clinician. Less than two years later, he started working on his tract about ‘human perfection and degeneration.’ Why did the young gynecologist embark on writing about a subject so remote from his immediate professional duties and scholarly interests? And why did he publish his treatise in Russian Word, the most radical ‘literary-political’ journal of the time?

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)0.012
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.046
Threshold uncertainty score0.154

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.004
Open science0.0010.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0460.053

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 head0.052
GPT teacher head0.314
Teacher spread0.262 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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