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Record W3022804923 · doi:10.3726/med012018_394

Dario Bullitta, <i>Niðrstigningar saga: Sources, Transmission, and Theology of the Old Norse “Descent into Hell”.</i> Toronto Old Norse and Icelandic Series, 11. Toronto: University of Toronto Press, 2017, pp. XIX, 203.

2018· article· en· W3022804923 on OpenAlexaboutno aff
Adam Oberlin

Bibliographic record

VenueMediaevistik · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOld NorseIcelandicPhilologyHistoryClassicsOld EnglishPoetryNorwegianLiteraturePhilosophyArtLinguisticsSociologyAncient historyArchaeology

Abstract

fetched live from OpenAlex

Alongside the source and contextual study promised by the title, this volume also delivers an edition and the first English translation of the two primary redactions of the Old Norse version of the Descensus Christi or Harrowing of Hell translated from the medieval tradition of the Evangelium Nicodemi or Acta Pilati (for a modern Norwegian translation and parallel normalized edition of the Old Icelandic text see Odd Einar Haugen, Norrøne tekster i utval , 2 nd ed., Oslo: Gyldendal, 2001 [1 st ed. 1994], pp. 250–65). While the texts themselves are short and have attracted relatively little attention compared to the immense consideration afforded saga literature or Norse poetic traditions, they are nevertheless of great philological significance in the history of Old Norse-Icelandic literature and provide a window into the transmission of Latin and Christian texts. Given the amount of material covered in such few pages while retaining the fullness of the textual tradition, this study, edition, and translation is both conceptually outstanding and strong in execution. The fields of Old Norse-Icelandic language and literature and Germanic philology in a wider sense are enriched by the publication of such multipurpose volumes, whose organization should increase interest in and coverage of otherwise minor or overlooked texts.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.857
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.189
Teacher spread0.175 · 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 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
Published2018
Admission routes1
Has abstractyes

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