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Record W2338392562 · doi:10.3167/hrrh.2016.420105

From Villainous Letch and Sinful Outcast, to “Especially Beloved of God”: Complicating the Medieval Leper through Gender and Social Status

2016· article· en· W2338392562 on OpenAlexvenueno aff
Christina Welch, Rohan Brown

Bibliographic record

VenueHistorical Reflections/Réflexions Historiques · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsVernacularLiminalityIdeal (ethics)SoulSymbol (formal)Punishment (psychology)Interpretation (philosophy)SociologyGender studiesPsychologySocial psychologyTheologyPhilosophyAnthropology

Abstract

fetched live from OpenAlex

This article explores the socio-religious construction of the medieval “ideal” leper; a male pedagogical symbol of social and moral status and a figure in a physical and spiritual state of liminality, where their physical decay was a sign of their moral corruption. It argues that within vernacular literature, and theology, the medieval male leper was typically perceived as an outcast experiencing social death before succumbing to the slow degeneration of the disease. Typically conceived, and represented as lusty and carnal, the “ideal” male leper wore his own sin as physical deformity as a result of the close theological interpretation of the body and the soul. However, once his spiritual and physical contagion was contained within a leprosaria (a leper hospital), he could be perceived as a semi-holy figure, living out his purgatorial punishment on earth. Living out his purgation and segregated from his former communities, the article contests that the once frightening and sinful medieval male leper could transform his social status, becoming “especially beloved by God.”

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0100.026
Scholarly communication0.0040.003
Open science0.0000.004
Research integrity0.0010.002
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 head0.086
GPT teacher head0.296
Teacher spread0.210 · 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
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

Citations1
Published2016
Admission routes1
Has abstractyes

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