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Record W4408298480 · doi:10.7146/bmg.v29i1.132496

Fæstedskatten

2017· article· da· W4408298480 on OpenAlexaff
Lars Grundvad, Maria Knudsen

Bibliographic record

VenueBy marsk og geest - Kulturhistorisk tidsskrift for Sydvestjylland · 2017
Typearticle
Languageda
FieldSocial Sciences
TopicSocial and Educational Sciences
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsEnvironmental scienceGeography

Abstract

fetched live from OpenAlex

I juni 2016 fandt tre dygtige detektorførere seks guldarmringe og endnu én i sølv påen mark ved Fæsted nær Sdr. Hygym i Sønderjylland. På selvsamme mark blev deri 1911 fundet en halskæde i samme stil som en af armringene. Alt sammen dateret til vikingetiden.På baggrund af fundene gennemførte Museet på Sønderskov en redningsgravningpå stedet, hvor målet var at redde skattens bestanddele fra pløjning samtat undersøge omstændighederne for skattens nedgravning. Undersøgelsen var en storsucces, for skatten voksede betragteligt, og det lykkedes tilmed at inde gruben, hvoriskatten var nedlagt. Men hvilken betydning har skatten, og hvad kan den fortælle omden samtid, den blev nedgravet i? Denne artikel er den første blandt lere, som hver haret afgrænset tema. Målet er hér at belyse relationen mellem Jellingstilen og Jellingdynastiet,for blandt de mange fund hørte tre til denne berettende stilart.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.617
Threshold uncertainty score0.546

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0080.003
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.6170.458

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 head0.037
GPT teacher head0.383
Teacher spread0.346 · 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.

Study designNot applicable
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

Citations1
Published2017
Admission routes1
Has abstractyes

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