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Record W7011669869

The Neolithic Settlement of Aknashen (Ararat valley, Armenia) : Excavation seasons 2004-2015

2022· book· en· W7011669869 on OpenAlexaboutno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2022
Typebook
Languageen
FieldMedicine
TopicBiomedical and Chemical Research
Canadian institutionsnot available
Fundersnot available
KeywordsExcavationSubsistence agricultureHuman settlementSettlement (finance)Subsistence economyCaveAlluvial plainPeriod (music)Natural (archaeology)Parallels
DOInot available

Abstract

fetched live from OpenAlex

<i>The Neolithic settlement of Aknashen (Ararat valley, Armenia): excavation seasons 2004-2015</i> is the first monograph devoted to the Neolithic period in Armenia. The research is based on an Armenian-French project, in which specialists from Canada, Romania, Germany and Greece also participated. The volume concerns the natural environment, material culture and subsistence economy of the populations of the first half of the 6th millennium BC, who established the first sedentary settlements in the alluvial plain of the Araxes river. The thickness of the cultural layer of Aknashen (almost 5m), the extent of the excavated areas and the multidisciplinary nature of the research, confer great importance upon this site for the study of the Neolithic, both in Armenia and in the South Caucasus as a whole. The publication examines the similarities and differences that exist between the sites established in the 6th millennium in the basins of the rivers Araxes (Armenia) and Kura (Georgia and Azerbaijan), as well as parallels with contemporary cultures in Southwest Asia. It also examines questions concerning the characterisation and periodisation of the Neolithic in the central part of the South Caucasus, the emergence of a production economy (pottery, animal husbandry, etc.) and the Neolithisation of this region.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesOpen science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.129
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.010
Science and technology studies0.0010.003
Scholarly communication0.0010.003
Open science0.0060.013
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0370.001

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 head0.085
GPT teacher head0.373
Teacher spread0.288 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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Same venueBiblioBoard Library Catalog (Open Research Library)Same topicBiomedical and Chemical ResearchFrench-language works237,207