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Record W4362553804 · doi:10.55086/sl23vad649

Stratum Library. Aere perennius. More lasting than bronze. Essays in honour of Valentin Dergachev on the occasion of his 80th birthday

2023· book· en· W4362553804 on OpenAlexaboutno aff

Bibliographic record

VenueStratum plus I.P., High Anthropological School University eBooks · 2023
Typebook
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChalcolithicHonourBronzeBronze AgeDestiny (ISS module)Ancient historyArchaeologyHistoryArtGeographyClassicsArt historyEngineering

Abstract

fetched live from OpenAlex

This volume is dedicated to the 80th anniversary of the Moldavian archaeologist Valentin Dergachev, researcher of the ancient history of Eastern and Southeastern Europe, the author of more than 160 papers on the Neolithic, Eneolithic and Bronze Age, of which 25 are monographic studies. It is no coincidence that the book is titled with a line from Horace, who discourages Melpomene by the fact that “he has built a monument more lasting than bronze”. Though what could be stronger than bronze and more ephemeral than monuments? In this sense, the fate of monuments, in the protection of which Valentin Dergachev worked in his youth, is similar to the destiny of many scientific texts. They are often demolished, sent to the trash, or melted down into new ones. At the same time, bronze or even copper itself, which Dergachev was so passionately engaged in throughout his career, has been living in human culture for thousands of years. So do good scientific texts, which, as a rule, outlive their creators for a long time and become the foundation for the discoveries of the next generations. Our volume brings together the works of researchers from Moldova, Romania, Bulgaria, Ukraine, Russia, Georgia, Tajikistan, Azerbaijan, Poland, Germany, Italy, Finland, Spain, Canada and the USA.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Not applicablemedium
gptno category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Not applicablehigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.801
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.007
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.221
Teacher spread0.185 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther · Review

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

Citations1
Published2023
Admission routes1
Has abstractyes

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