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Record W4408274466 · doi:10.7146/bmg.v26i1.132718

Nørregårdgravpladsen fra tidlig enkeltgravskultur ved Nørre Holsted

2014· article· da· W4408274466 on OpenAlexaff
Lars Grundvad, Martin Egelund Poulsen

Bibliographic record

VenueBy marsk og geest - Kulturhistorisk tidsskrift for Sydvestjylland · 2014
Typearticle
Languageda
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Fra november 2011 til juli 2012 undersøgte Museet på Sønderskov et areal på 65.000 m2 nord for E20-motorvejen ved Nørre Holsted. Årsagen til den omfattende udgravning var Danish Crowns kommende etablering af et kreaturslagteri på grunden. Her blev der afdækket spor efter fem fladmarksgrave fra enkeltgravskulturen (2800-2350 f.Kr.), og derudover fremkom blandt andet et omfattende bopladsmateriale fra senneolitikum og bronzealderen samt gårde fra yngre jernalder (Grundvad 2013). Museet har tidligere opereret i området i forbindelse med motorvejsbyggeriet i starten af 1990´erne. Her bød de tilstødende arealer mod syd på en jordfæstegrav fra enkeltgravskulturen, huse fra senneolitikum og ældre bronzealder, en indhegnet landsby fra førromersk jernalder samt en middelalderlig landbebyggelse (Rindel 1993, 18 ff.). Senere blev der på nabomatriklen mod vest undersøgt to fornemt udstyrede grave fra tidlig enkeltgravstid (Hertz 1999a). Disse grave skulle vise sig at have relation til de fem nyopdagede gravanlæg. Der var således tale om én samlet gravplads, som kan kategoriseres som en fladmarksgravplads

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.150
Threshold uncertainty score0.503

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1500.045

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 head0.010
GPT teacher head0.198
Teacher spread0.188 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2014
Admission routes1
Has abstractyes

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