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Record W4412748717 · doi:10.1080/09699082.2025.2520067

The Company She Keeps: Poetry on Female Martyr Saints in Early Modern Icelandic Manuscripts

2025· article· en· W4412748717 on OpenAlexaff
Natalie Van Deusen

Bibliographic record

VenueWomen s Writing · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIcelandicMartyrPoetryHistoryLiteratureArtPhilosophyLinguisticsArchaeology

Abstract

fetched live from OpenAlex

Iceland’s national and local archives preserve hundreds of paper manuscripts containing poetry on female martyr saints composed and circulated in early modern Iceland, which to date have received little scholarly attention – especially when considering the amount of scholarship produced on hagiographic texts (prose and poetry) in medieval manuscript sources. These poems, the majority of which were composed well after the Protestant Reformation (officially 1550 in Iceland), focus on the stories of Christian women who were subject to violent torture, and were willing to die before sacrificing their faith in God and, in most cases, their virginity. They reached the height of their popularity during the eighteenth and nineteenth centuries, but continued to be transmitted in written and oral form well into twentieth century. This article examines the place of virgin martyr saints in their manuscripts, of which a comprehensive list is provided. Special attention is given to the groupings of poetic legends of female martyrs in manuscripts. Also considered are a selection of illustrative examples of manuscripts containing two or more poems about female martyrs, which were known to have been produced for and/or owned – and in some cases, copied – by women.

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)0.001
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: none
Teacher disagreement score0.007
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.020
GPT teacher head0.230
Teacher spread0.209 · 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
Published2025
Admission routes1
Has abstractyes

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