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The History of Study of Árna saga biskups Þorláksson

2023· article· en· W4381295880 on OpenAlexaboutno aff
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Bibliographic record

VenueGRAPHOSPHAERA Writing and Written Practices · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIcelandicHistoriographyBishopsNorwegianHistoryClassicsQuarter (Canadian coin)Ancient historyGenealogyArchaeologyLawPhilosophyPolitical science

Abstract

fetched live from OpenAlex

The article presents a brief overview of foreign and domestic studies of Old Icelandic bish-ops’ sagas. This genre of sagas tells about the life of the Icelandic bishops of the 11th–14th centuries and is a valuable source on both ecclesiastical and secular history of medieval Iceland. The emphasis in this article is on the analysis of the historiography of Árna saga biskups Þorláksson, the Icelandic bishops’ saga, which was written in the first quarter of the 14th century. The saga is an important source of Icelandic history from the late 1260s to 1290s. In particular, it tells about the activities of the Skálholt Bishop Árni Þorláksson (1237–1298). In russian historiography, the Árna saga biskups Þorláksson has not been practically studied at the moment, while in the works of foreign authors the issues of dating and au-thorship of the saga have been studied, the sources used by the author of the saga have been studied, and a comparative analysis of the saga with some of the Norwegian legal sources of the second half of the 13th century has been carried out. Also, on the basis of this saga, the conflict between secular and church authorities and, directly, the role of Bishop Árni in this conflict was analyzed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.103
GPT teacher head0.274
Teacher spread0.171 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2023
Admission routes1
Has abstractyes

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