“Great Among His Brothers,” But Who Is He? Heterogeneity in the Composition of Judah
Bibliographic record
Abstract
To a large extent past scholarship has been absorbed with textual, source-critical, and redactional issues. Each of the major approaches surveyed attempts to deal with the formidable problems presented by the text. Inasmuch as an effort has been made to understand the genealogy historically, most of that effort has been expended on recovering the early history of Judah and its growth during the monarchy. Because genealogies are essentially histories of generations, it is only natural for scholars to want to plumb the depths of these records as one means to reconstruct the past. But whatever traditions may have been available to the authors, one should inquire further about what functions the genealogy may have fulfilled in the late Persian or early Hellenistic period, the time in which the authors wrote. Genealogies in the ancient Mediterranean world were caught up with fundamental issues of self-definition, identity, territory, and relationships. They were composed mainly to address claims about social status, kinship ties, and territorial affiliations and not to satisfy idle curiosities about the distant past. In most, albeit not all, cases lineages "establish and validate living relationships." Given that the postexilic Judah constructed by modern scholarship is not known for having a diverse social and ethnic makeup, pursuing the heterogeneity within the Judahite genealogy holds much promise.
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.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".