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Record W3208163771 · doi:10.1017/9781108573832.004

Literacy and Learning in the Lives of Women Religious in Medieval Germany

2021· book-chapter· en· W3208163771 on OpenAlexaff
Lori Kruckenberg

Bibliographic record

VenueCambridge University Press eBooks · 2021
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsDalhousie University
Fundersnot available
KeywordsScholarshipLiteracyMeaning (existential)CreativityReligious educationGermanScope (computer science)MonasticismSociologyPedagogyClassicsLiteratureArtHistoryPsychologyEpistemologyPolitical sciencePhilosophySocial psychologyLawArchaeology

Abstract

fetched live from OpenAlex

Although Hildegard of Bingen described herself multiple times in her writings as indocta (unlearned), medieval accounts and modern scholarship reveal discrepancies and conflicting information regarding this claim. What, then, was the extent of her education? Instead of answering this question directly by interrogating the intent, meaning, or reliability of her statements and those of her contemporaries, a broader picture of educational standards, resources, and contexts for the intellectual formation of women religious in medieval Germany is investigated. Invoking the full breadth of meaning of ‘women religious’ to include nuns, canonesses, consecrated widows, beguines, and anchorites unveils a wide-ranging scope of educational activity. Contemporary sources, including monastic and canonical rules, hagiographic literature of female vitae, and concrete evidence of libraries and scribal activity in female communities elucidate details of materials, learning conditions, pedagogy, and intellectual engagement and creativity. This chapter thus contextualizes the medieval German environment of female literacy and learning with which Hildegard would have been familiar.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.992
Threshold uncertainty score0.743

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.188
Teacher spread0.173 · 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
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

Citations4
Published2021
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicMedieval Literature and HistoryFrench-language works237,207