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Record W4308398726 · doi:10.1080/20465726.2022.2139454

A Revelation of Weakness: Julian of Norwich, John Caputo, and the Event of Hospitality

2022· article· en· W4308398726 on OpenAlexaff
Daniel Fishley

Bibliographic record

VenueMedieval Mystical Theology · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsMcGill University
Fundersnot available
KeywordsRevelationHospitalityThouEvent (particle physics)PhilosophyTheologyDepictionRelation (database)Reading (process)HistoryTourismLinguistics

Abstract

fetched live from OpenAlex

This study is foremost a close reading of chapter 22 of revelation nine from Julian of Norwich’s (c. 1343–1416) Revelations of Divine Love. I reflect on the implications of a section from the chapter’s introduction in which Christ asks Julian if she were satisfied (‘payde’) for the suffering he underwent for her. Upon hearing her affirmative response Christ tells her that ‘If thou art payde, I am payde.’. In my analysis, I turn to the interpretive strategies offered by the philosopher and theologian, John Caputo (b. 1940), to reflect on the theological images being presented in this chapter. Specifically, I consider the subordinate depiction of Christ in relation to Julian that this section suggests. To do this, I draw on Caputo’s notion of ‘weak theology’ combined with his idea of ‘the event’ and his ethics of ‘hospitality’ as fruitful hermeneutical strategies for thinking through the Christological implications of this chapter.

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)0.004
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: none
Teacher disagreement score0.017
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.043
Scholarly communication0.0070.006
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.217
Teacher spread0.206 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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