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Record W2921438552 · doi:10.31377/chr.v29i0.351

Unpublished Texts from the Arab Orthodox Tradition (1): On the Origin of the Term "Melkite" and On the Destruction of the Maryamiyya Cathedrale in Damascus

2019· article· en· W2921438552 on OpenAlexaff
Alexander Treiger

Bibliographic record

VenueChronos · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Linguistic Studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsExtant taxonSAINTArabicClassicsStyle (visual arts)RomanianLiteratureHistoryOrder (exchange)Saint petersburgTerm (time)PhilosophyArtLinguisticsSociologyArt history

Abstract

fetched live from OpenAlex

The purpose of the present article—the first installment in what I hope will become a series—is to make accessible two documents from the Orthodox Christian tradition in Arabic. The two texts share a number of features and therefore deserve to be studied together. They are both anonymous, written in a fairly colloquial style, and are extant in the same unicum seventeenth- century manuscript—Saint Petersburg, Institute of Oriental Manuscripts, B 12202—copied in 1642 by the famous Arab Orthodox writer Paul of Aleppo, the author of the celebrated account of the travels of his father, the Patriarch of Antioch Macarius Ill Ibn al-Zafim (r. 1647-1672), to the Romanian principalities, Ukraine, and Russia' In what follows, I shall introduce the two texts in the order in which they appear in the manuscript and offer an edition and an annotated English translation of each.

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)0.003
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: none
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.002

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 head0.030
GPT teacher head0.256
Teacher spread0.226 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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