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Record W4410557384 · doi:10.1515/zac-2025-0012

<b>Mattias Brand and Eline Scheerlinck, eds.:</b> <i>Religious Identifications in Late Antique Papyri. 3rd–12th Century Egypt</i>, Abingdon and New York (Routledge) 2023, XII + 302 pp., ISBN 9781032263502 (hardback), £ 39.99 (paperback) and Open Access (ebook).

2025· article· en· W4410557384 on OpenAlexaff
Theodore de Bruyn

Bibliographic record

VenueZeitschrift für Antikes Christentum / Journal of Ancient Christianity · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAntiqueArtHistoryMedia studiesTheologyAncient historySociologyPhilosophy

Abstract

fetched live from OpenAlex

Article Mattias Brand and Eline Scheerlinck, eds.: Religious Identifications in Late Antique Papyri. 3rd–12th Century Egypt, Abingdon and New York (Routledge) 2023, XII + 302 pp., ISBN 9781032263502 (hardback), £ 39.99 (paperback) and Open Access (ebook). was published on May 1, 2025 in the journal Zeitschrift für Antikes Christentum / Journal of Ancient Christianity (volume 29, issue 1).

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)0.001
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.073
Threshold uncertainty score0.243

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0030.005
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0730.028

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 head0.041
GPT teacher head0.300
Teacher spread0.259 · 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
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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