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Stories of Vínland

2023· book-chapter· en· W4389763315 on OpenAlexaboutno aff
Davide Zori

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsViking AgeIcelandicNarrativeLegendHuman settlementArchaeologyHistoryArchaeological evidenceArchaeological recordGenealogyGeographyLiteratureArtPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Abstract This penultimate chapter focuses on the evidence for the famous Viking colony of Vínland. The Viking voyages to North America occupy a space in Viking Studies between legend and history. The journeys are evidenced in written sources and the archaeological record. Two Icelandic sagas provide complementary narratives about the voyages, but they disagree about key facts such as the number of settlements established. Later texts track efforts to visit places mentioned in the sagas but mention no additional settlements. Only one site has been verified archaeologically: L’Anse aux Meadows in Newfoundland. L’Anse aux Meadows offers a clear example of scholars seeking a very specific level of confirmation of the sagas from archaeological evidence. The archaeological site has confirmed the basic saga narrative that Viking Age Scandinavians reached North America. But how detailed can the correspondence be? This chapter pursues this question and shows how much more we know now from the combination of sagas, archaeology, and new scientific analyses. Finally, the chapter shows the value of exploring the contradictions among texts, archaeology, and the sciences. These specific contradictions are ripe for scholarly disagreement and offer rich avenues for further research.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.758
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.001

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 head0.139
GPT teacher head0.232
Teacher spread0.093 · 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 designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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