Counting the Jeremiahs: Machine Learning and the Jeremiah Narratives
What it is about
Scholars disagree on the redactional layers of the prose of Jeremiah 26–45. Following earlier synonym-based source analysis (Dershowitz et al.), the author builds 306 sets of synonyms from Clines' dictionary, records per chapter which member of each set is used, and clusters the chapters hierarchically in R (complete linkage, Euclidean distance, silhouette to choose the number of clusters), after a sanity run that separates Jeremiah from Ezekiel. The clusters agree fairly well with Stulman's Deuteronomistic-diction classes and Hornkohl's early/late features, less with Römer's three-stage model. The author's own critique is the useful part: genre and topic change the vocabulary as much as authorship does, chapter-sized blocks are arbitrary, synonym sets built from uncertain glosses and polysemous roots add noise, and frequent pairs ("man/human") dominate the clustering although scholars do not consider them meaningful.
Ideas
- I1. Synonym-choice profiles as a feature for the comparison chapter: in the Torah dictionary, group lemmas that BDB glosses alike (e.g. the two words for "maidservant", the two first-person pronouns) and count, per book, which one is chosen. Report the counts, not a clustering.
- I2. Carry the paper's cautions into any such study: control for genre (law vs. narrative vs. speech), drop sets whose members are polysemous, and weight sets so that one frequent pair cannot decide the result.
For Mova
I1 uses the Torah dictionary (macula dict, The lexicon, synonyms and semantic fields) and feeds 12-biblical-mishnaic-modern.md. I2 is a method note for the same chapter and for any source-critical measure Mova runs.
Cite
@inproceedings{campbell2021counting,
title = {{Counting the Jeremiahs: Machine Learning and the Jeremiah Narratives}},
author = {Campbell, Nicholas J.},
booktitle = {Old Testament Essays},
year = {2021},
doi = {10.17159/2312-3621/2021/v34n3a5},
url = {https://doi.org/10.17159/2312-3621/2021/v34n3a5}
}References
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