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Record W3175166169 · doi:10.1080/10412573.2021.1893088

Narrating Trauma? Captured Cross Relics in Chronicles and<i>Chansons de Geste</i>

2021· article· en· W3175166169 on OpenAlex
Siobhain Bly Calkin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueExemplaria · 2021
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsCarleton University
Fundersnot available
KeywordsNarrativeBattleCraftLiteratureHistoryArtOrder (exchange)Visual artsArchaeology

Abstract

fetched live from OpenAlex

This essay examines how medieval Christian writers narrate a Cross relic’s capture in battle by Muslims. It seeks to delineate the distinctive ways in which four texts from various genres craft a sense that this event should be perceived by Christians as a substantial collective loss that reshapes communities and individuals. It then concludes by assessing how these varied representations intersect with modern trauma theory in order to answer two questions: (1) Do Western medieval texts represent experiences of relic capture, which might be termed a form of devotional dispossession, in ways that communicate a sense of what is today labelled trauma?; and (2) If so, what might such representations mean for both medieval and trauma studies? Ultimately, the essay argues that these texts intersect with contemporary models of collective trauma and its narration and, in so doing, can contribute both to trauma studies’ rethinking of what trauma narratives look like and to medievalists’ understandings of the affective import of relic capture and the role of crusading texts in the construction of such affect.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score0.663

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 integrity0.0000.000
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 head0.033
GPT teacher head0.330
Teacher spread0.297 · 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