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Record W2022114077 · doi:10.1163/19552629-00602008

Aspects of Aramaic and Babylonian Linguistic Interaction in First Millennium BC Iraq

2013· article· en· W2022114077 on OpenAlex

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

VenueJournal of Language Contact · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Near East History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSemitic languagesAkkadianLinguisticsHistoryPrefixCognateSimilarity (geometry)Ancient historyPhilosophyComputer scienceArabic

Abstract

fetched live from OpenAlex

This article investigates four areas where the influence of Aramaic on the Neo- and Late Babylonian dialects of Akkadian can be detected (8 th -3 rd centuries BC): the pronominal system, the verbal prefixes, the precative (i.e., jussive) conjugation, and cognate loanwords. In each case Babylonian appears to have replaced native forms with Aramaic equivalents that bore a close morphological, but not necessarily functional similarity to them. Aramaic and Babylonian both belonged to the Semitic family and were in intimate contact for centuries, being spoken and written side by side in the same society. While the changes that occurred in Babylonian can in each instance be analyzed as individual cases of interference and contamination, I propose to view them together as evidence that the close genetic relation between the two languages triggered a process that induced speakers of Babylonian to adopt Aramaic forms in specific cases where morphological similarity between the two languages was the strongest. These changes were highly selective, however, and do not provide evidence for a massive influx of Aramaic on Neo- and Late Babylonian, as has often been argued in the past.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.781
Threshold uncertainty score0.999

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)0.0020.000

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 head0.015
GPT teacher head0.227
Teacher spread0.213 · 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