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КАРТОГРАФИЧЕСКИЙ МЕТОД В ИЗУЧЕНИИ ПОМЕЩИЧЬИХ ВЛАДЕНИЙ ПСКОВСКОЙ ГУБЕРНИИ В ПОСЛЕДНЕЙ ЧЕТВЕРТИ XVIII В.

2018· article· en· W3212517299 on OpenAlex
Е. В. Гончарова

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueАрхеология и история Пскова и Псковской земли · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsLandlordQuarter (Canadian coin)GeographyDistribution (mathematics)State (computer science)ArchaeologyCartographyHistoryLawPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The study of the possessions of Pskov landowners requires cartographic material involvement but there are still no cartographic constructions on the basis of which it would be possible to present the spatial distribution of landlords ‘ villages in different districts of the Pskov province in the 18 century. “The Economic notes to the General surveying” and related cartographic material are considered by historians the most reliable source for this purpose. For spatial distribution of nobles’ estates on the territory of the Pskov province the data of the geometrical map made according to the General land surveying in 80 - 90ies of the 18 century from the Russian state Archive of ancient acts was involved.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.643
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0050.004
Scholarly communication0.0010.002
Open science0.0040.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.011

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 head0.033
GPT teacher head0.350
Teacher spread0.317 · 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