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Record W4408274639 · doi:10.7146/bmg.v27i1.132708

Vestervang ved Vejen

2015· article· da· W4408274639 on OpenAlexaff
Martin Egelund Poulsen, Lars Grundvad

Bibliographic record

VenueBy marsk og geest - Kulturhistorisk tidsskrift for Sydvestjylland · 2015
Typearticle
Languageda
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Museet på Sønderskov udgravede i 1996 en velbevaret hustomt fra slutfasen af yngrestenalder på lokaliteten Vestervang nord for Vejen. Der var tale om et toskibet langhusmed væggrøfter, som var forsynet med ydre stolper i østdelen og indre anlæg mellemtagstolperækken og langvæggene i vestdelen. Husfundet var på dette tidspunkt unikti Danmark. Men ti år senere dukkede endnu en hustomt op af samme type, blot 300 mfra den første. Dette langhus har aldrig været publiceret og skal derfor fremlægges oganalyseres i sammenhæng med andre lignende husfund fra slutningen af senneolitikumog den tidligste bronzealder (ca. 1900-1500 f.Kr.). Huse med væggrøfter er indtilvidere et sjældent fænomen i dette tidsrum, og de to eksempler fra Vestervang repræsentererde mest velbevarede af slagsen. Husvariantens sjældne forekomst kan dogvære resultat af bevaringsforholdene, så det er muligt, at væggrøftshusene var merealmindelige og veludbredte end hidtil antaget. Vestervanghusene og deres beslægtedehusfund har tendens til at kombinere den to- og treskibede konstruktion, hvilket er interessant,da de stammer fra århundrederne før den markante arkitektoniske ændringfinder sted omkring 1500 f.Kr., hvor den treskibede byggeskik bliver enerådende. Manhar således eksperimenteret med nye løsninger i husbyggeriet allerede i slutningen afsenneolitikum, hvilket tyder på en glidende overgang til det nye konstruktionsprincip,der skal blive fremherskende de næste 2500 år

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.328
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.086
GPT teacher head0.253
Teacher spread0.167 · 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 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
Published2015
Admission routes1
Has abstractyes

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