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Record W4411686093 · doi:10.15699/jbl.144.2.2025.8

Abraham and the Jerusalem Collection: Kinship Diplomacy in Paul’s Letters

2025· article· en· W4411686093 on OpenAlexaff
Richard Last

Bibliographic record

VenueJournal of Biblical Literature · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsTrent University
Fundersnot available
KeywordsKinshipDiplomacyHistoryGenealogyAncient historyPolitical scienceSociologyAnthropologyLaw

Abstract

fetched live from OpenAlex

Abstract Individually, the Jerusalem collection and Paul’s discourse on Abraham are each quite uncharacteristic of their time. Myths of kinship between Jews and followers of Christ did not circulate frequently in the first century, nor were they necessary for making intelligible a foreign god to non-Jews. Paul employed a much more common strategy in that regard (see, e.g., Rom 3:29). The Jerusalem collection, moreover, is currently without a precise ancient parallel. So far, all proposed civic and collegium analogies show that donors usually lived near the beneficiaries or, in the case of collections for the Jerusalem temple, shared an ethnic identity. Despite difficulties in framing Paul’s Abrahamic myth and the Jerusalem collection individually, these elements become intelligible when studied together and placed in the context of Hellenic kinship diplomacy—so I propose in this study. The richest surviving documentation of kinship diplomacy is on the Xanthian stone (Bousquet, REG 101 [1988]: 14–16 = SEG 38.1476). As a framework for making comprehensible Paul’s discourse on Abraham and the Jerusalem collection, I offer an overview of the 110-line Xanthian inscription and compare it to Paul’s ambassadorial role with the Jerusalem assembly. The Appendix provides a full English translation.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.004
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.009
GPT teacher head0.241
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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