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Record W4390115541 · doi:10.15181/ahuk.v44i0.2573

Morality Tale or Attempt at Reportage? Yet Another Look at Peter von Dusburg’s Description of the Prussian Pagan Religion

2023· article· en· W4390115541 on OpenAlexaff
Rasa Mažeika

Bibliographic record

VenueActa Historica Universitatis Klaipedensis · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval European History and Architecture
Canadian institutionsWorld Wildlife Fund Canada
Fundersnot available
KeywordsHistoriographyInterpretation (philosophy)Context (archaeology)LiteratureMoralityOrder (exchange)HistoryReading (process)PhilosophyArtEpistemologyArchaeology

Abstract

fetched live from OpenAlex

The story by the Teutonic Order chronicler Peter von Dusburg about the Prussian pagan priest Criwe and his sanctuary Romowe has for centuries provoked historiographical arguments about the nature of the Baltic pagan religion and the interpretation of Medieval chronicle sources relating to the Balts. This article focuses on an interpretation of Dusburg’s text, without attempting to decide on the reality of ancient pagan religious practice. Through a ‘close reading’ approach to actual words and the contexts of sentences that are often extracted and used out of context, the article argues against either dismissing the passage as an invented moral exemplum or accepting it literally. A speculative explanation for Dusburg’s portrayal of the pagan priest Criwe as a pope is presented for consideration. Moreover, through a reminder of the often-neglected context of the Criwe passage in book III of the chronicle, this article suggests an overarching aim for Dusburg’s portrayal of the Old Prussians, which is not as the ‘avatar of evil’ often proposed in historiography, but rather as simple peoples who should be left to the Teutonic Order and not to the Franciscans favoured at that time by Grand Duke Gediminas of Lithuania. To aid readers, the article contains the whole Latin passage (rather than the extracts often quoted), and an English translation by Rasa Mažeika.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score0.998

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.041
GPT teacher head0.204
Teacher spread0.164 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

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