Festschriften and Collected Essays
Bibliographic record
Abstract
Festschriften and Collected Essays Thomas Hieke, Juliane Eckstein, Christopher T. Begg, Fred W. Guyette, and Michael W. Duggan Thomas Hieke Johannes Gutenberg Universität Mainz Juliane Eckstein Johannes Gutenberg Universität, Mainz Christopher T. Begg Catholic University of America Fred W. Guyette Erskine College and Seminary, Anderson University Michael W. Duggan Calgary AB, Canada 2529. Sonja Ammann, Katharina Pyschny, and Julia Rhyder (eds.), Authorship and the Hebrew Bible (FAT 158; Tübingen: Mohr Siebeck, 2022). Pp. xii + 277. €134. ISBN 978-3-16-161490-3 (print); ISBN 978-3-16-161491-0 (eBook). The majority of the essays in this volume originated in a conference hosted by the Universities of Basel and Lausanne in September 2018, entitled "What follows la mort de l'auteur? Re-Evaluating the Concept of Authorship in Hebrew Bible Studies." The essays stand in the tradition of studying the Bible from a historical perspective. They seek to re-evaluate the concept of authorship within the historical-critical study of the Hebrew Scriptures and to explore new avenues by which the discussion might be advanced. The 14 contributors are scholars of the Hebrew Bible, the DSS, cuneiform texts, and cognate literature, who, with reference to their respective specialities, attempt to reimagine the literary and discursive functions of "authorship" in ancient Israel. Bridging the gap between theoretical reflection and exegetical practice, the volume explores a variety of key features of biblical texts, from anonymity to divine speech, scribal editing to textual fluidity, thereby revealing the complex and varied authorial functions that helped shape biblical literature. [Adapted from the editorial introduction by editor S. Ammann] The collection comes with indexes of references, authors, and subjects. The articles are abstracted separately; see ##1825, 1848, 1869, 1873, 1920, 1937, 1943, 1945, 1946, 1954, 1955, 1961, 1961, 1965, 2459.—T.H. Google Scholar 2530. Michaela Bauks and Saul M. Olyan (eds.), Pain in Biblical Texts and Other Materials of the Ancient Mediterranean (FAT 2, 130; Tübingen: Mohr Siebeck, 2021). Pp. viii + 267. €79. ISBN 978-3-16-160642-7. This collective volume results from an international conference held at the University of Koblenz-Landau in 2018. According to the editors, it aims at providing "a robust and engaging initial foray into the study of pain and its representations in biblical texts, post-biblical texts, and other materials of the ancient Eastern Mediterranean" (p. 8). The volume's articles revolve around the question of how ancient texts and artifacts deal with and express pain, while acknowledging the cultural gap between today's technical-medicalized worldview and the societies, cultures, and belief systems that the ancient texts under consideration emanate from. Against this background, the contributions develop methodologies and map anthropologies. The volume is divided into three major sections: (1) the Hebrew Bible, Cuneiform Texts, and Material Remains of the Iron Age; (2) the Greek Bible, Greek Traditions, Apocryphal/Deuterocanonical Texts and Early Christian Materials; and (3) Rabbinic Texts. The volume comes with the usual indices and an extensive bibliography. For abstracts of the articles, see ##1815, 1819, 1820, 1828, 1916, 2009, 2102, 2235, 2258, 2363, 2426, 2500, 2517, 2519.—J.E. Google Scholar 2531. [Ancient Indo-European Languages] Michele Bianconti, Marta Capano, Domenica Romagno, and Francesco Rovai (eds.), Ancient Indo-European Languages between Linguistics and Philology: Contact, Variation, and Reconstruction (Brill's [End Page 924] Studies in Historical Linguistics 18; Leiden/Boston: Brill, 2022). Pp. xvi + 314. $167. ISBN 978-90-04-50881-1. Studying the Indo-European languages means having a privileged viewpoint with regard to diachronic language change, because of the relative wealth of documentation for these languages, which spans over more than three millennia, with almost no interruption, and also because of the cultural position that these languages have enjoyed in human history. The 12 chapters making up this volume investigate case-studies involving various ancient Indo-European languages (Ancient Greek, Latin, Hittite, Luwian, Sanskrit, Avestan, Old Persian, Armenian, and Albanian) through the lenses of contact, variation, and reconstruction, in an inter-disciplinary and intra-disciplinary way. The studies reveal both the multiplicity and the unity of the contributors' discipline(s...
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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 | 0.014 | 0.054 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.010 | 0.012 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.129 | 0.049 |
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".