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Squabbling Siblings: Gender and Monastic Life in Late Anglo‐Saxon Winchester

2011· article· en· W1533650968 on OpenAlexaff
Helen Foxhall Forbes

Bibliographic record

VenueGender & History · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsTrinity College
Fundersnot available
KeywordsPrayerLiturgyContext (archaeology)Locale (computer software)HistoryPeriod (music)Ancient historyReligious lifeMonasticismSociologyArchaeologyGender studiesReligious studiesArtPhilosophy

Abstract

fetched live from OpenAlex

In early medieval Winchester, three monastic communities were enclosed together in the south‐eastern corner of the town. By the later Anglo‐Saxon period, Old Minster was a monastic cathedral and New Minster and Nunnaminster were monastic communities for men and women respectively. This paper addresses ways in which the three foundations collaborated and co‐ordinated with each other and with the city. While gender segregated these communities, both liturgy and the urban context integrated them, as can be seen from the books used and produced by religious men and women in this city in later Anglo‐Saxon England. The importance of prayer to the inhabitants of the city and the wider locale can be seen in the documents that request liturgical services – most often prayers and masses – in return for grants of land and other gifts. Ecclesiastical and lay individuals alike allied themselves to these religious houses, seeking commemoration and often also burial in their cemeteries and hoping to benefit spiritually from their prayers. The ways in which gender affected the religious experiences of Winchester's citizens and their consecrated brothers and sisters are complex, but they are also important in understanding how the saints and their servants on earth related to God, to each other and to the surrounding urban space.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.260

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0180.012
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.121
GPT teacher head0.214
Teacher spread0.093 · 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 designQualitative
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

Citations6
Published2011
Admission routes1
Has abstractyes

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