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Record W7132895075

Becoming Saints: Coptic Orthodox Monasticism, Exemplarity, Negotiating Christian Virtue

2019· dissertation· W7132895075 on OpenAlexaffabout
Joseph Youssef

Bibliographic record

VenueTSpace · 2019
Typedissertation
Language
FieldArts and Humanities
TopicStudy and Philosophy of Religion
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMonasticismVirtueEthnographyNegotiationSubjectivityRelation (database)
DOInot available

Abstract

fetched live from OpenAlex

Based on 13 months of transnational ethnographic fieldwork between Egypt, Southern California, and Toronto, this dissertation examines questions around exemplarity, morality, and the cultivation of virtue among Coptic Orthodox Christians. Specifically, this thesis investigates the relationship between Coptic monks and the wider Coptic community. Many Copts view monasticism as a morally exemplary way of life. The monk as one who has forsaken all social ties and lives in the desert is regarded as one who has attained the highest form of virtue. This view results in different levels of engagement with monastic practice and competing voices for what it means to be a Coptic Christian. As will be demonstrated through ethnographic details, there is a gap between the ideals of the Coptic monastic imaginary and the lived reality of negotiating Christian virtue for monks and laity alike. Furthermore, this dissertation unpacks the ways in which Coptic monasticism is (re-)imagined and (re-)produced in North America and how Coptic subjectivity is (re-)negotiated in relation to Egypt and the Mother Church.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.025
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.028
Scholarly communication0.0060.003
Open science0.0010.006
Research integrity0.0010.003
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 head0.052
GPT teacher head0.329
Teacher spread0.276 · 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
Published2019
Admission routes2
Has abstractyes

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