The Quest for the Gist of Jesus: The Jesus Seminar, Dale Allison, and Improper Linear Models
Studies have found that while experts can be quite good at identifying criteria related to a particular phenomenon, they are typically outperformed by improper linear models (ilm), which assign equal weights to criteria. In this article, using widely-accepted criteria for assessing the authenticity...
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| Другие авторы: | |
| Формат: | Электронный ресурс Статья |
| Язык: | Английский |
| Проверить наличие: | HBZ Gateway |
| Journals Online & Print: | Загрузка...
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| Interlibrary Loan: | Interlibrary Loan for the Fachinformationsdienste (Specialized Information Services in Germany) |
| Опубликовано: |
[2020]
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| В: |
Journal for the study of the historical Jesus
Год: 2020, Том: 18, Выпуск: 2, Страницы: 156-189 |
| Нормированные ключевые слова (последовательности): | B
Jesus Christus
/ Историчность
/ Литературный отчёт
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| Индексация IxTheo: | HC Новый Завет |
| Другие ключевые слова: | B
criteria of authenticity
B Jesus Seminar B recurrent attestation B Historical Jesus B text mining B Dale Allison B semantic network analysis |
| Online-ссылка: |
Volltext (lizenzpflichtig) Volltext (lizenzpflichtig) |
| Итог: | Studies have found that while experts can be quite good at identifying criteria related to a particular phenomenon, they are typically outperformed by improper linear models (ilm), which assign equal weights to criteria. In this article, using widely-accepted criteria for assessing the authenticity of the sayings of Jesus, we generate a new ranking of Jesus’ sayings using an ilm. Then, drawing on recent advances in text mining—semantic network analysis—we first compare our ilm ranking to that of the Jesus Seminar’s and then to one based on Dale Allison’s recurrent attestation (RA) approach. We find that our ilm semantic network projects a more traditional understanding of Jesus than does the Jesus Seminar’s, but it is quite similar to the RA network. We conclude by suggesting that biblical scholars could benefit from various forms of computerized text mining in their quest for the historical Jesus. |
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| ISSN: | 1745-5197 |
| Второстепенные работы: | Enthalten in: Journal for the study of the historical Jesus
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| Persistent identifiers: | DOI: 10.1163/17455197-01802004 |
