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Record W4230424913 · doi:10.5040/9781641899208

The Vikings

2019· book· et· W4230424913 on OpenAlexaboutno aff
Sæbjørg Walaker Nordeide, Kevin J. Edwards

Bibliographic record

Venuenot available
Typebook
Languageet
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

This book presents a fresh overview of the Vikings from both conceptual and material perspectives. The prevailing image of a Viking is frequently that of a fierce male, associated with military expansion and a distinctive material culture. In an engaging survey, Sæbjørg Walaker Nordeide and Kevin J. Edwards analyse Viking religion, economic life and material culture in and beyond the Scandic homelands. Although there is a conventional Viking Age timeframe of ca. AD 800 to 1050 (the Scandinavians are usually associated with hit-and-run attacks beginning with the raid on the Abbey of Lindisfarne in 797), their military expeditions actually started earlier and were directed eastwards. Scandinavians moved beyond the Baltic coast to Constantinople. To the south and west, France, Iberia, and the islands of Great Britain and Ireland witnessed, variously, trade, invasion, and settlement. The essentially unpopulated islands of the North Atlantic Ocean were subjected to a Norse-led diaspora with the Scandinavian settlers perhaps over-reaching themselves in Newfoundland and ultimately abandoning their Greenlandic colonies. The Vikings have maintained a resonance in the popular imagination to the present day.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0060.003
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0310.008

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 head0.028
GPT teacher head0.188
Teacher spread0.160 · 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 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
Published2019
Admission routes1
Has abstractyes

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