Aspects of Aramaic and Babylonian Linguistic Interaction in First Millennium BC Iraq
Bibliographic record
Abstract
This article investigates four areas where the influence of Aramaic on the Neo- and Late Babylonian dialects of Akkadian can be detected (8th-3rd 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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".