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Record W2977739434 · doi:10.15826/qr.2019.3.422

Returning to the Legacy of Ivan Fyodorov

2019· article· en· W2977739434 on OpenAlexaboutno aff
Irina Pochinskaia

Bibliographic record

VenueQuaestio Rossica · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and language evolution
Canadian institutionsnot available
Fundersnot available
KeywordsCircumstantial evidenceSlavic languagesHistoryClassicsLibrary scienceComputer science

Abstract

fetched live from OpenAlex

This review considers a thematic issue of Canadian-American Slavic Studies devoted to the activity of the first Russian printer Ivan Fyodorov. This issue completes a joint project by University College London and the British Library on the history of early Cyrillic printing. It includes eleven articles written by researchers from Great Britain, Russia, and Ukraine. The reviewer briefly characterises each of the articles and hopes that the newly emerging interest in the first stages of Russian printing will generate interest in Russian book culture. Additionally, the reviewer points out that some of the authors put forward hypotheses referring to them as “new” and never mentioning that they have existed for many years or referring to their respective authors. The reviewer demonstrates that some of the hypotheses have already been refuted; also, the authors are not critical enough of circumstantial sources. This approach causes ungrounded hypotheses to appear.

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)0.005
metaresearch head score (Gemma)0.009
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: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0030.007
Scholarly communication0.0070.006
Open science0.0010.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0020.001

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 head0.015
GPT teacher head0.230
Teacher spread0.215 · 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
Published2019
Admission routes1
Has abstractyes

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