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Record W1833422211

Travels to identity : Viking rune carvers of today

2010· article· en· W1833422211 on OpenAlexaboutno aff
Bodil Petersson

Bibliographic record

VenueLund University Publications (Lund University) · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCarvingHarmony (color)Identity (music)HistorySociologyVisual artsAestheticsArtArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This text deals with the phenomenon of today’s rune carvers in the Nordic area. By using symbols of antiquity in their craftsmanship, the rune carvers revive an act that is historically significant and bears aspects of identity in the past as well as today. Why do people carve and erect runes stones today? When and where is it done? What are the explicit or implicit purposes? The text tries to answer these questions by elucidating the role of a past society in today’s world. It is obvious that the rune carving is mainly done in the Nordic area, but the ideas emanating from the Viking Age are also spread all over the world, as the rune stones are also erected in other countries, for example in Germany, the Netherlands, Poland and Canada. The identity project is mainly about creating an individual lifestyle. It is concluded that the past plays an important role in connecting people and supporting small-scale perspectives, crafts and sustainable development in harmony with the past. The act of carving and erecting rune stones today is a form of travel to identity.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.010
Scholarly communication0.0070.005
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.024
GPT teacher head0.192
Teacher spread0.169 · 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 designQualitative
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

Citations7
Published2010
Admission routes1
Has abstractyes

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