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Record W4300012689 · doi:10.3176/lu.2003.1.06

Uralic Numerals: Is the Evolution of Numeral System Reconstructable? (Reading new Václav Blažek's book on numerals in Eurasia)

2003· article· en· W4300012689 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLinguistica Uralica · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and Cultural Studies
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsNumeral systemReading (process)LinguisticsHistoryArithmeticMathematicsPhilosophy

Abstract

fetched live from OpenAlex

A new book on the history of numerals in the languages of different language families of Eurasia appeared two years ago (Bla zek 1999), a chapter of which is devoted to the Uralic numerals. Its author, Dr. Vclav Bla zek, is known not only as a researcher of Afro-Asiatic languages which is his main field, but also -and may be even more -as a scholar belonging to the Nostratists' family. The last direction determines his interest in the Uralic languages, too. His inclination to Uralistics, which might be marginal to himself and certainly not so important, is still sometimes very promising: e.g., at least the best of new Aryan etymologies for Finno-Ugrian words suggested during the past two decades belong to him (F.-Mord. *ak ster 'unfertile' < Aryan *a-k saitra-'uncultivated'; Vog. (Pelym) se sw" e etc. 'hare' < Aryan * sasa-'id.'; F.-Perm. sik st 'wax' < Aryan * sik sta-'id.' (Bla zek 1990 : 40-43)).

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.944
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.027
GPT teacher head0.239
Teacher spread0.211 · 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