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Record W3081918734

The Heart of Relics: Catholic Relics, Affect, and the Heart of Brother Andre

2019· dissertation· en· W3081918734 on OpenAlexfundno aff
Sarah Elizabeth Wood-Gagnon

Bibliographic record

VenueoURspace (University of Regina) · 2019
Typedissertation
Languageen
FieldArts and Humanities
TopicHistorical and Religious Studies of Rome
Canadian institutionsnot available
FundersUniversity of Regina
KeywordsBrotherAffect (linguistics)Ancient historyArtMedicineHistoryPsychologyPolitical scienceLawCommunication
DOInot available

Abstract

fetched live from OpenAlex

Catholic relics elicit strong emotion and are thought to have healing powers; they are an important part of Catholic practice, yet their affect is not often explicitly explored. Arguing that relics are affective, or emotionally impactful, because they are part of a system that encourages intense emotional reactions through sensation and perception, this thesis examines the transmutability of Catholic relics and their emotional impact beyond religious doctrine using an interdisciplinary theoretical framework of affect, emotion and empathy. Locating Catholic practice within a twentieth-century Quebec context in the form of a case study, this investigation of affect is situated through events surrounding the display of the relic heart of Brother André in the 1970s as well as his larger healing ministry. Utilizing discourse and media analysis methods and set against the historical background of the body and physicality in Catholicism, an overview of the sensory and emotional history of relics, and the emotional attachment of the faithful to the saints, this thesis concludes that the positive affect generated by Catholic relics is transmissible to non-Catholics, as humans are susceptible to empathic contagion.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.845
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.009
GPT teacher head0.192
Teacher spread0.183 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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