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Record W169367967

НАХОДКИ ИЗ НЕНЕЦКОЙ СВЯЩЕННОЙ НАРТЫ В БАССЕЙНЕ р. БОЛЬШАЯ ХЕТА НА ПОЛУОСТРОВЕ ТАЙМЫР

2009· article· ru· W169367967 on OpenAlexaboutno aff
Пошехонова Ольга Евгеньевна, Семенова Валентина Ивановна

Bibliographic record

VenueVestnik arheologii, antropologii i ètnografii · 2009
Typearticle
Languageru
FieldArts and Humanities
TopicLinguistics and language evolution
Canadian institutionsnot available
Fundersnot available
KeywordsFellPeriod (music)Quarter (Canadian coin)PeninsulaEthnographyHistoryArchaeologySubject (documents)GeographyAncient historyArtCartographyLibrary science
DOInot available

Abstract

fetched live from OpenAlex

The article presents the investigation results by the archaeological and ethnographic expedition from the Institute of Northern Development, Russian Academy of Sciences, Siberian Division, on the territory of Taimyr Peninsula. Subject to analysis being a set of articles obtained from the Nenets sacred sledge dated by the time period from the XVIIth century to the first quarter of the XX century. The articles were accumulated and put into the sacred sledge during a long time, with every keeper adding certain valuables. Part of the articles was made by the Nenets themselves, while some of those fell into the keepers hands through changing and purchasing. Also, basing on literary data as well as on the finding from the sacred sledge, the authors singled out a series of plates with a complex multi-figured plot, popular in Siberia in the XVII century.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.004
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.004

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 head0.018
GPT teacher head0.250
Teacher spread0.233 · 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 designObservational
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
Published2009
Admission routes1
Has abstractyes

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