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Record W7025104775

Trypillia from Dniester to Dnieper in the second half of the 5th mill. BC: farming colonization, invasions, migrations (possibilities of investigations)

2020· article· en· W7025104775 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPotteryAgricultureQuarter (Canadian coin)Interpretation (philosophy)Period (music)
DOInot available

Abstract

fetched live from OpenAlex

Changes, that have occurred in the area of distribution of the cultural complex Cucuteni-Trypillia can be considered using traditional methods for studying of pottery assemblages, of course, taking into account data from the natural sciences, including paleogenetics. For the period of the spreading of the painted pottery and formation of Cucuteni-Trypillia, reconstructions were carried out before only taking into account the interpretation of the results of ceramic studies, which showed both the progress and the formation of some new cultural groups of various levels. In the second case, the events of the last quarter of 5th mil. BC were examined and then verified using both the study of pottery assemblages, including pottery of the «Cucuteni C» type, paleogenetics and anthropology. A comparison of the results showed the possibilities of mutual verification, as well as the unique source-study capabilities of various methods that give the greatest effect with an interdisciplinary approach. As a result, it was possible to successfully compare the results of genetic studies that showed the penetration into the communities of Trypillia farmers some amount of representatives of populations related to western and eastern hunter-gatherers, partially connected with other groups of the farming population, indicated in some cases by archaeological materials.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.344
GPT teacher head0.464
Teacher spread0.120 · 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 teacher head, not a consensus.

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
Published2020
Admission routes1
Has abstractyes

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